16.7.4.2 Human Detection, People Detection, Pedestrians, Locating

Daimler Pedestrian Detection Benchmark,
2009.
Dataset, Surveillance. See also Daimler. Training set: 15,560 pedestrian and non-pedestrian samples. 6744 additional images. Test set: a sequence with more than 21,790 images with 56,492 pedestrian labels. From a vehicle in 27 minutes of urban driving. VGA resolution. Dataset used in: See also Monocular Pedestrian Detection: Survey and Experiments. 0906

Edinburgh Informatics Forum Pedestrian Database,
2010.
WWW Version. Dataset, Human Tracking. Dataset, Surveillance. Overhead views, of a building atrium. Several months of observations, with trajectories (computed). 1007

Yamasaki, M.[Masafumi],
Moving body detection device of camera,
US_Patent5,627,586, May 6, 1997
WWW Version. BibRef 9705

Seki, S.[Susumu], Nagaya, S.[Shigeki], Oka, R.[Ryuichi],
Image recognition method,
US_Patent5,838,839, Nov 17, 1998
WWW Version. template extraction of people BibRef 9811

Ahmad, S.[Subutai], Hunter, K.L.[Kevin L.],
Computer vision system for subject characterization,
US_Patent6,031,934, Feb 29, 2000
WWW Version. BibRef 0002

Curio, C., Edelbrunner, J., Kalinke, T., Tzomakas, C., von Seelen, W.,
Walking pedestrian recognition,
ITS(1), No. 3, September 2000, pp. 155-163.
IEEE Abstract. 0402
BibRef

Wöhler, C.[Christian],
Autonomous in situ training of classification modules in real-time vision systems and its application to pedestrian recognition,
PRL(23), No. 11, September 2002, pp. 1263-1270.
Elsevier DOI Link 0206
BibRef

Hasegawa, O.[Osamu], Kanade, T.[Takeo],
Type classification, color estimation, and specific target detection of moving targets on public streets,
MVA(16), No. 2, February 2005, pp. 116-121.
Springer DOI Link 0501
BibRef

Viola, P.[Paul], Jones, M.J.[Michael J.], Snow, D.[Daniel],
Detecting Pedestrians Using Patterns of Motion and Appearance,
IJCV(63), No. 2, July 2005, pp. 153-161.
Springer DOI Link 0501
BibRef
Earlier: ICCV03(734-741).
IEEE DOI Link 0311
Award, Marr Prize. BibRef

Foresti, G.L., Micheloni, C., Piciarelli, C.,
Detecting moving people in video streams,
PRL(26), No. 14, 15 October 2005, pp. 2232-2243.
WWW Version. 0510
See also Trajectory-Based Anomalous Event Detection. BibRef

Parra Alonso, I., Fernandez Llorca, D., Sotelo, M.A., Bergasa, L.M., Revenga de Toro, P., Nuevo, J., Ocana, M., Garcia Garrido, M.A.,
Combination of Feature Extraction Methods for SVM Pedestrian Detection,
ITS(8), No. 2, April 2007, pp. 292-307.
IEEE DOI Link 0706
BibRef

Cao, X.B.[Xian-Bin], Qiao, H.[Hong], Keane, J.,
A Low-Cost Pedestrian-Detection System With a Single Optical Camera,
ITS(9), No. 1, March 2008, pp. 58-67.
IEEE DOI Link 0803
BibRef

Xu, Y.[Yanwu], Cao, X.B.[Xian-Bin], Qiao, H.[Hong],
An Efficient Tree Classifier Ensemble-Based Approach for Pedestrian Detection,
SMC-B(41), No. 1, February 2011, pp. 107-117.
IEEE DOI Link 1102
BibRef

Nanni, L., Lumini, A.,
Ensemble of Multiple Pedestrian Representations,
ITS(9), No. 2, June 2008, pp. 365-369.
IEEE DOI Link 0806
BibRef

Chen, Y.T., Chen, C.S.,
Fast Human Detection Using a Novel Boosted Cascading Structure With Meta Stages,
IP(17), No. 8, August 2008, pp. 1452-1464.
IEEE DOI Link 0808
BibRef

Tuzel, O.[Oncel], Porikli, F.M.[Fatih M.], Meer, P.[Peter],
Pedestrian Detection via Classification on Riemannian Manifolds,
PAMI(30), No. 10, October 2008, pp. 1713-1727.
IEEE DOI Link 0810
BibRef
Earlier:
Human Detection via Classification on Riemannian Manifolds,
CVPR07(1-8).
IEEE DOI Link Award, CVPR, HM. 0706
BibRef

Tuzel, O.[Oncel], Porikli, F.M.[Fatih M.], Meer, P.[Peter],
Learning on lie groups for invariant detection and tracking,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef
Earlier:
Region Covariance: A Fast Descriptor for Detection and Classification,
ECCV06(II: 589-600).
Springer DOI Link 0608
BibRef
Earlier: A2, A1, A3:
Covariance Tracking using Model Update Based on Lie Algebra,
CVPR06(I: 728-735).
IEEE DOI Link 0606
BibRef

Porikli, F.M., Tuzel, O.,
Fast Construction of Covariance Matrices for Arbitrary Size Image Windows,
ICIP06(1581-1584).
IEEE DOI Link 0610
BibRef

Liu, Y.Z.[Ya-Zhou], Chen, X.L.[Xi-Lin], Yao, H.X.[Hong-Xun], Cui, X.Y.[Xin-Yi], Liu, C.[Chaoran], Gao, W.[Wen],
Contour-motion feature (CMF): A space-time approach for robust pedestrian detection,
PRL(30), No. 2, 15 January 2009, pp. 148-156,.
Elsevier DOI Link
WWW Version. 0804
Contour-motion feature; Space-time analysis; Pedestrian detection; Human activity analysis; Event analysis; 3D Haar filter BibRef

Liu, Y.Z.[Ya-Zhou], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin], Heikkila, J.[Janne], Gao, W.[Wen], Pietikainen, M.[Matti],
Spatial-Temporal Granularity-Tunable Gradients Partition (STGGP) Descriptors for Human Detection,
ECCV10(I: 327-340).
Springer DOI Link 1009
BibRef

Liu, Y.Z.[Ya-Zhou], Heikkila, J.[Janne],
Isotropic Granularity-tunable gradients partition (IGGP) descriptors for human detection,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Liu, Y.Z.[Ya-Zhou], Shan, S.G.[Shi-Guang], Zhang, W.[Wenchao], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
Granularity-tunable gradients partition (GGP) descriptors for human detection,
CVPR09(1255-1262).
IEEE DOI Link 0906
Hough space descriptors. Spatial and statistical properties. See also Fea-Accu cascade for face detection. BibRef

Pang, J.B.[Jun-Biao], Huang, Q.M.[Qing-Ming], Jiang, S.Q.A.[Shu-Qi-Ang], Gao, W.[Wen],
Pedestrian detection via logistic multiple instance boosting,
ICIP08(1464-1467).
IEEE DOI Link 0810
BibRef

Zhang, J.G.[Jian-Guo], Gong, S.G.[Shao-Gang],
People detection in low-resolution video with non-stationary background,
IVC(27), No. 4, 3 March 2009, pp. 437-443.
Elsevier DOI Link
WWW Version. 0804
Visual surveillance; People detection; Bayesian fusion; Long-term motion; AdaBoost BibRef

Zhang, J.G.[Jian-Guo], Gong, S.G.[Shao-Gang],
Action categorization with modified hidden conditional random field,
PR(43), No. 1, January 2010, pp. 197-203,.
Elsevier DOI Link
WWW Version. 0909
Action recognition; Graph model; Hidden conditional random field; Optimum learning BibRef

Zhang, J.G.[Jian-Guo], Gong, S.G.[Shao-Gang],
Action categorization by structural probabilistic latent semantic analysis,
CVIU(114), No. 8, August 2010, pp. 857-864.
Elsevier DOI Link
WWW Version. 1007
Action categorization; pLSA; Structural pLSA; Local shape context BibRef

Bellotto, N., Hu, H.S.[Huo-Sheng],
Multisensor-Based Human Detection and Tracking for Mobile Service Robots,
SMC-B(39), No. 1, February 2009, pp. 167-181.
IEEE DOI Link 0902
BibRef

Jo, Y.G.[Young-Gwan], Nam, W.H.[Woon-Hyun], Han, J.H.[Joon-Hee],
Pedestrian Segmentation From Uncalibrated Monocular Videos Using a Projection Map,
SPLetters(16), No. 7, July 2009, pp. 604-607.
IEEE DOI Link 0905
See also Object handoff between uncalibrated views without planar ground assumption. BibRef

Montabone, S.[Sebastian], Soto, A.[Alvaro],
Human detection using a mobile platform and novel features derived from a visual saliency mechanism,
IVC(28), No. 3, March 2010, pp. 391-402.
Elsevier DOI Link
WWW Version. 1001
Human detection; Visual saliency; Visual features; Moving cameras BibRef

Pszczókowski, S.[Stefan], Soto, A.[Alvaro],
Human Detection in Indoor Environments Using Multiple Visual Cues and a Mobile Robot,
CIARP07(350-359).
Springer DOI Link 0711
BibRef

Mucientes, M.[Manuel], Bugarin, A.[Alberto],
People detection through quantified fuzzy temporal rules,
PR(43), No. 4, April 2010, pp. 1441-1453.
Elsevier DOI Link
WWW Version. 1002
People detection; Spatio-temporal pattern; Fuzzy temporal rules; Mobile robotics; Evolutionary algorithms BibRef

Oliveira, L., Nunes, U., Peixoto, P.,
On Exploration of Classifier Ensemble Synergism in Pedestrian Detection,
ITS(11), No. 1, March 2010, pp. 16-27.
IEEE DOI Link 1003
BibRef

Pang, G.[Guan], Wang, G.[Guijin], Lin, X.G.[Xing-Gang],
Real-Time Human Detection Using Hierarchical HOG Matrices,
IEICE(E93-D), No. 3, March 2010, pp. 658-661.
WWW Version. 1003
BibRef

Oliveira, L.[Luciano], Nunes, U.[Urbano], Peixoto, P.[Paulo], Silva, M.[Marco], Moita, F.[Fernando],
Semantic fusion of laser and vision in pedestrian detection,
PR(43), No. 10, October 2010, pp. 3648-3659.
Elsevier DOI Link
WWW Version. 1007
Semantic sensor fusion; Pedestrian detection; Markov logic network BibRef

Tang, S.P.[Shao-Peng], Goto, S.[Satoshi],
Histogram of Template for Pedestrian Detection,
IEICE(E93-D), No. 7, July 2010, pp. 1737-1744.
WWW Version. 1008
BibRef

Cao, H.[Hui], Yamaguchi, K.[Koichiro], Ohta, M.[Mitsuhiko], Naito, T.[Takashi], Ninomiya, Y.[Yoshiki],
Feature Interaction Descriptor for Pedestrian Detection,
IEICE(E93-D), No. 9, September 2010, pp. 2656-2659.
WWW Version. 1003
BibRef
Earlier: A1, A2, A4, A5, Only:
Pedestrian Recognition Using Second-Order HOG Feature,
ACCV09(II: 628-634).
Springer DOI Link 0909
See also Road Image Segmentation and Recognition Using Hierarchical Bag-of-Textons Method. BibRef

Cao, H.[Hui], Naito, T.[Takashi], Ninomiya, Y.[Yoshiki],
Approximate RBF kernel SVM and its applications in pedestrian classification,
MLMotion08(xx-yy). 0810
BibRef

Liu, C.[Chang], Wang, G.J.[Gui-Jin], Liu, C.X.[Chun-Xiao], Lin, X.G.[Xing-Gang],
Partial Derivative Guidance for Weak Classifier Mining in Pedestrian Detection,
IEICE(E94-D), No. 8, August 2011, pp. 1721-1724.
WWW Version. 1108
BibRef

Wu, Y.[Yang], Liu, Y.L.[Yuan-Liu], Yuan, Z.J.[Ze-Jian], Zheng, N.N.[Nan-Ning],
IAIR-CarPed: A psychophysically annotated dataset with fine-grained and layered semantic labels for object recognition,
PRL(33), No. 2, 15 January 2012, pp. 218-226.
Elsevier DOI Link
WWW Version. 1112
Dataset, Pedestrian Detection. Object recognition; Image database; Object detection; Pedestrian detection; Psychophysical experiments BibRef

Lee, P.H., Lin, Y.L., Chen, S.C., Wu, C.H., Tsai, C.C., Hung, Y.P.,
Viewpoint-Independent Object Detection Based on Two-Dimensional Contours and Three-Dimensional Sizes,
ITS(12), No. 4, December 2011, pp. 1599-1608.
IEEE DOI Link 1112
Pedestrians and vehicles. BibRef

Li, S., Lu, H.,
Arbitrary Body Segmentation With a Novel Graph Cuts-Based Algorithm,
SPLetters(18), No. 12, December 2011, pp. 753-756.
IEEE DOI Link 1112
BibRef

Zini, L.[Luca], Odone, F.[Francesca],
Efficient pedestrian detection with group lasso,
VS11(1777-1784).
IEEE DOI Link 1201
BibRef

Moctezuma, D.[Daniela], Conde, C.[Cristina], de Diego, I.M.[Isaac Martin], Cabello, E.[Enrique],
Person detection in surveillance environment with HoGG: Gabor filters and Histogram of Oriented Gradient,
VS11(1793-1800).
IEEE DOI Link 1201
BibRef

Chen, W.[Wei], Yang, Q.X.[Quan-Xi], Lin, K.W.[Ke-Wei], Wang, S.Y.[Sheng-Yu], Huang, C.L.[Chung-Lin],
Human and car identification using motion vector in H.264 compressed video,
VCIP11(1-4).
IEEE DOI Link 1201
Find moving objects, then classify. BibRef

Nguyen, D.T.[Duc Thanh], Ogunbona, P.[Philip], Li, W.Q.[Wan-Qing],
Detecting humans under occlusion using variational mean field method,
ICIP11(2049-2052).
IEEE DOI Link 1201
BibRef

Migniot, C.[Cyrille], Bertolino, P.[Pascal], Chassery, J.M.[Jean-Marc],
Automatic people segmentation with a template-driven graph cut,
ICIP11(3149-3152).
IEEE DOI Link 1201
BibRef

Liu, W.[Wu], Xia, T.[Tian], Wan, J.[Ji], Zhang, Y.D.[Yong-Dong], Li, J.T.[Jin-Tao],
RGB-D Based Multi-attribute People Search in Intelligent Visual Surveillance,
MMMod12(750-760).
Springer DOI Link 1201
BibRef

Wu, J.C.[Jin-Chen], Chen, W.[Wei], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
Partial Least Squares based subwindow search for pedestrian detection,
ICIP11(3565-3568).
IEEE DOI Link 1201
BibRef

Martelli, S.[Samuele], Tosato, D.[Diego], Cristani, M.[Marco], Murino, V.[Vittorio],
Fast FPGA-based architecture for pedestrian detection based on covariance matrices,
ICIP11(389-392).
IEEE DOI Link 1201
BibRef

Maki, A.[Atsuto], Seki, A.[Akihito], Watanabe, T.[Tomoki], Cipolla, R.[Roberto],
Co-occurrence flow for pedestrian detection,
ICIP11(1889-1892).
IEEE DOI Link 1201
BibRef

Cao, Y.Y.[Yun-Yun], Pranata, S.[Sugiri], Nishimura, H.[Hirofumi],
Local Binary Pattern features for pedestrian detection at night/dark environment,
ICIP11(2053-2056).
IEEE DOI Link 1201
BibRef

Chen, X.T.[Xiao-Tang], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
Direction-based stochastic matching for pedestrian recognition in non-overlapping cameras,
ICIP11(2065-2068).
IEEE DOI Link 1201
BibRef

Wang, J.Q.A.[Jun-Qi-Ang], Ma, H.D.[Hua-Dong],
MPL-Boosted Integrable Features Pool for pedestrian detection,
ICIP11(805-808).
IEEE DOI Link 1201
BibRef

Gualdi, G.[Giovanni], Prati, A.[Andrea], Cucchiara, R.[Rita],
A multi-stage pedestrian detection using monolithic classifiers,
AVSBS11(267-272).
IEEE DOI Link 1111
BibRef
Earlier:
Multi-stage Sampling with Boosting Cascades for Pedestrian Detection in Images and Videos,
ECCV10(VI: 196-209).
Springer DOI Link 1009
BibRef
And:
Perspective and appearance context for people surveillance in open areas,
UCVP10(13-18).
IEEE DOI Link 1006
See also Contextual Information and Covariance Descriptors for People Surveillance: An Application for Safety of Construction Workers. BibRef

Vineet, V.[Vibhav], Warrell, J.[Jonathan], Ladicky, L.[Lubor], Torr, P.H.S.[Philip H.S.],
Human Instance Segmentation from Video using Detector-based Conditional Random Fields,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Ma, Y.D.[Ying-Dong], Chen, X.[Xiankai], Jin, L.[Liu], Chen, G.[George],
A Monocular Human Detection System Based on EOH and Oriented LBP Features,
ISVC11(I: 551-562).
Springer DOI Link 1109
BibRef

Venkatraman, D., Makur, A.,
Shadow-less segmentation of moving humans from surveillance video sequences,
ICARCV08(1317-1322).
IEEE DOI Link 1109
BibRef

Kittipanya-Ngam, P.[Panachit], Lung, E.H.[Eng How],
HOG-Based Descriptors on Rotation Invariant Human Detection,
VS10(143-152).
Springer DOI Link 1109
BibRef

Wu, B.[Bo], Liang, J.X.[Ji-Xiang], Ye, Q.X.[Qi-Xiang], Han, Z.J.[Zhen-Jun], Jiao, J.B.[Jian-Bin],
Fast Pedestrian Detection with Laser and Image Data Fusion,
ICIG11(605-608).
IEEE DOI Link 1109
BibRef

Serra-Toro, C.[Carlos], Traver, V.J.[V. Javier],
A New Pedestrian Detection Descriptor Based on the Use of Spatial Recurrences,
CAIP11(II: 97-104).
Springer DOI Link 1109
BibRef

Elguebaly, T.[Tarek], Bouguila, N.[Nizar],
A nonparametric Bayesian approach for enhanced pedestrian detection and foreground segmentation,
OTCBVS11(21-26).
IEEE DOI Link 1106
BibRef

Beleznai, C.[Csaba], Rauter, M.[Michael], Shao, D.[Dan],
Real-time human detection using fast contour template matching for visual surveillance,
AVSBS11(514).
IEEE DOI Link 1111
AVSS2011 demo session BibRef

Beleznai, C.[Csaba], Schreiber, D.[David], Rauter, M.[Michael],
Pedestrian detection using GPU-accelerated multiple cue computation,
ECVW11(58-65).
IEEE DOI Link 1106
BibRef

Bo, Y.[Yihang], Fowlkes, C.C.[Charless C.],
Shape-based pedestrian parsing,
CVPR11(2265-2272).
IEEE DOI Link 1106
BibRef

Kim, D.H.[Dae-Hwan], Kim, Y.[Yeonho], Kim, D.J.[Dai-Jin],
Separating Occluded Humans by Bayesian Pixel Classifier with Re-weighted Posterior Probability,
ACIVS11(543-553).
Springer DOI Link 1108
BibRef

Kim, D.H.[Dae-Hwan], Kim, D.J.[Dai-Jin],
Self-occlusion handling for human body motion tracking from 3D ToF image sequence,
3DVP10(57-62).
WWW Version. 1111
BibRef

Pedrocca, P.J.[Pablo Julian], Allili, M.S.[Mohand Saïd],
Real-Time People Detection in Videos Using Geometrical Features and Adaptive Boosting,
ICIAR11(I: 314-324).
Springer DOI Link 1106
BibRef

Huang, Y.Z.[Yong-Zhen], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
A Heuristic Deformable Pedestrian Detection Method,
ACCV10(II: 542-553).
Springer DOI Link 1011
BibRef

Zheng, Y.B.[Yong-Bin], Shen, C.H.[Chun-Hua], Hartley, R.I.[Richard I.], Huang, X.S.[Xin-Sheng],
Pyramid Center-Symmetric Local Binary/Trinary Patterns for Effective Pedestrian Detection,
ACCV10(IV: 281-292).
Springer DOI Link 1011
BibRef

Dikmen, M.[Mert], Akbas, E.[Emre], Huang, T.S.[Thomas S.], Ahuja, N.[Narendra],
Pedestrian Recognition with a Learned Metric,
ACCV10(IV: 501-512).
Springer DOI Link 1011
BibRef

Leithy, A.[Alaa], Moustafa, M.N.[Mohamed N.], Wahba, A.[Ayman],
Fast and Accurate Pedestrian Detection Using a Cascade of Multiple Features,
VS10(153-163).
Springer DOI Link 1109
BibRef
And:
Cascade of Complementary Features for Fast and Accurate Pedestrian Detection,
PSIVT10(343-348).
IEEE DOI Link 1011
BibRef

Geismann, P.[Philip], Knoll, A.[Alois],
Speeding Up HOG and LBP Features for Pedestrian Detection by Multiresolution Techniques,
ISVC10(I: 243-252).
Springer DOI Link 1011
BibRef

Barnich, O.[Olivier], Piérard, S.[Sébastien], van Droogenbroeck, M.[Marc],
A Virtual Curtain for the Detection of Humans and Access Control,
ACIVS10(II: 98-109).
Springer DOI Link 1012
BibRef

Yu, J.[Jie], Farin, D.[Dirk], Kruger, C.[Christof], Schiele, B.[Bernt],
Improving person detection using synthetic training data,
ICIP10(3477-3480).
IEEE DOI Link 1009
BibRef

Middleton, L.[Lee], Snowdon, J.R.[James R.],
Histogram of confidences for person detection,
ICIP10(1841-1844).
IEEE DOI Link 1009
BibRef

Satpathy, A.[Amit], Jiang, X.D.[Xu-Dong], Eng, H.L.[How-Lung],
Extended Histogram of Gradients with Asymmetric Principal Component and Discriminant Analyses for Human Detection,
CRV11(64-71).
IEEE DOI Link 1105
BibRef
Earlier:
Extended Histogram of Gradients feature for human detection,
ICIP10(3473-3476).
IEEE DOI Link 1009
BibRef

Zeng, C.B.[Cheng-Bin], Ma, H.D.[Hua-Dong],
Human detection using multi-camera and 3D scene knowledge,
ICIP11(1793-1796).
IEEE DOI Link 1201
BibRef

Zeng, C.B.[Cheng-Bin], Ma, H.D.[Hua-Dong], Ming, A.[Anlong],
Fast human detection using mi-sVM and a cascade of HOG-LBP features,
ICIP10(3845-3848).
IEEE DOI Link 1009
BibRef

Tang, S.P.[Shao-Peng], Goto, S.[Satoshi],
Multi scale block histogram of template feature for pedestrian detection,
ICIP10(3493-3496).
IEEE DOI Link 1009
BibRef

Tahmoush, D., Silvious, J.,
Remote detection of humans and animals,
AIPR09(1-8).
IEEE DOI Link 0910
BibRef

Garcia-Martin, A., Hauptmann, A., Martinez, J.M.,
People detection based on appearance and motion models,
AVSBS11(256-260).
IEEE DOI Link 1111
BibRef

Garcia-Martin, A., Martinez, J.M.,
Robust Real Time Moving People Detection in Surveillance Scenarios,
AVSS10(241-247).
IEEE DOI Link 1009
BibRef

Shen, J.[Jiali], Yan, W.Q.[Wei-Qi], Miller, P., Zhou, H.Y.[Hui-Yu],
Human Localization in a Cluttered Space Using Multiple Cameras,
AVSS10(85-90).
IEEE DOI Link 1009
BibRef

Cheung, S.M.[Siu-Ming], Moon, Y.S.[Yiu-Sang],
Detection of Approaching Pedestrians from a Distance Using Temporal Intensity Patterns,
MVA09(354-).
PDF Version. 0905
BibRef

Ando, H.[Hiroaki], Fujiyoshi, H.[Hironobu],
Human-Area Segmentation by Selecting Similar Silhouette Images Based on Weak-Classifier Response,
ICPR10(3444-3447).
IEEE DOI Link 1008
BibRef

Atienza-Vanacloig, V.[Vicente], Rosell-Ortega, J.[Juan], Andreu-Garcia, G.[Gabriela], Valiente-Gonalez, J.M.[Jose Miguel],
Locating People in Images by Optimal Cue Integration,
ICPR10(1804-1807).
IEEE DOI Link 1008
BibRef

Heimonen, T.A.[Teuvo Antero], Heikkila, J.[Janne],
A Human Detection Framework for Heavy Machinery,
ICPR10(416-419).
IEEE DOI Link 1008
BibRef

del Bimbo, A.[Alberto], Lisanti, G.[Giuseppe], Masi, I.[Iacopo], Pernici, F.[Federico],
Person Detection Using Temporal and Geometric Context with a Pan Tilt Zoom Camera,
ICPR10(3886-3889).
IEEE DOI Link 1008
BibRef

Sun, L.[Luo], Di, H.[Huijun], Tao, L.M.[Lin-Mi], Xu, G.Y.[Guang-You],
A Robust Approach for Person Localization in Multi-camera Environment,
ICPR10(4036-4039).
IEEE DOI Link 1008
BibRef

Ma, W.H.[Wen-Hua], He, P.[Peng], Huang, L.[Lei], Liu, C.P.[Chang-Ping],
Context Inspired Pedestrian Detection in Far-Field Videos,
ICPR10(3009-3012).
IEEE DOI Link 1008
BibRef

Hong, X.P.[Xiao-Peng], Chang, H.[Hong], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
Boosted Sigma Set for Pedestrian Detection,
ICPR10(3017-3020).
IEEE DOI Link 1008
See also Sigma Set: A small second order statistical region descriptor. BibRef

Cai, Y.H.[Ying-Hao], Takala, V.[Valtteri], Pietikainen, M.[Matti],
Matching Groups of People by Covariance Descriptor,
ICPR10(2744-2747).
IEEE DOI Link 1008
BibRef

Mayya, M.[Mohammad], Zarka, N.[Nizar], Alkadi, M.S.[Mohammad Soubhi],
Embedded system for real-time human motion detection,
IPTA10(523-528).
IEEE DOI Link 1007
BibRef

Iwashita, Y.[Yumi], Stoica, A.[Adrian], Kurazume, R.[Ryo],
Person Identification using Shadow Analysis,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Simonnet, D.[Damien], Velastin, S.A.[Sergio A.],
Pedestrian detection based on adaboost algorithm with a pseudo-calibrated camera,
IPTA10(54-59).
IEEE DOI Link 1007
BibRef

Flores, A.[Arturo], Belongie, S.J.[Serge J.],
Removing pedestrians from Google street view images,
IWMV10(53-58).
IEEE DOI Link 1006
BibRef

Xie, Y.F.[Yao-Fang], Su, S.Z.[Song-Zhi], Li, S.Z.[Shao-Zi],
A pedestrian classification method based on transfer learning,
IASP10(420-425).
IEEE DOI Link 1004
BibRef

Su, S.Z.[Song-Zhi], Chen, S.Y.[Shu-Yuan], Li, S.Z.[Shao-Zi], Duh, D.J.[Der-Jyh],
Structured Local Edge Pattern Moment for pedestrian detection,
IASP10(556-560).
IEEE DOI Link 1004
BibRef

Ott, P.[Patrick], Everingham, M.[Mark],
Implicit color segmentation features for pedestrian and object detection,
ICCV09(723-730).
IEEE DOI Link 0909
BibRef

Pang, J.B.[Jun-Biao], Huang, Q.M.[Qing-Ming], Jiang, S.Q.A.[Shu-Qi-Ang], Wu, Z.P.[Zhi-Peng],
Transfer pedestrian detector towards view-adaptiveness and efficiency,
ObjectEvent09(609-616).
IEEE DOI Link 0910
BibRef

Hou, Y.L.[Ya-Li], Pang, G.K.H.[Grantham K.H.],
Human detection in crowded scenes,
ICIP10(721-724).
IEEE DOI Link 1009
BibRef
Earlier:
Human detection in a challenging situation,
ICIP09(2561-2564).
IEEE DOI Link 0911
BibRef

Liao, C.T.[Chia-Te], Lai, S.H.[Shang-Hong], Wang, W.H.[Wen-Hao],
A hierarchical image kernel with application to pedestrian identification for video surveillance,
ICIP09(1125-1128).
IEEE DOI Link 0911
BibRef

Lee, J.T.[Jong Taek], Chen, C.C.[Chia-Chih], Aggarwal, J.K.,
Recognizing human-vehicle interactions from aerial video without training,
WAVP11(53-60).
IEEE DOI Link 1106
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Lee, J.T.[Jong T.], Ryoo, M.S., Aggarwal, J.K.,
View independent recognition of human-vehicle interactions using 3-D models,
WMVC09(1-8).
IEEE DOI Link 0912
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Lillywhite, K.[Kirt], Lee, D.J.[Dah-Jye], Zhang, D.[Dong],
Real-time human detection using histograms of oriented gradients on a GPU,
WACV09(1-6).
IEEE DOI Link 0912
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Dong, L.[Li], Yu, X.G.[Xin-Guo], Li, L.Y.[Li-Yuan], Hoe, J.K.E.[Jerry Kah Eng],
HOG based multi-stage object detection and pose recognition for service robot,
ICARCV10(2495-2500).
IEEE DOI Link 1109
BibRef

Yu, X.G.[Xin-Guo], Dong, L.[Li], Li, L.Y.[Li-Yuan], Hoe, J.K.E.[Jerry Kah Eng],
Lift-button detection and recognition for service robot in buildings,
ICIP09(313-316).
IEEE DOI Link 0911
BibRef

Li, L.Y.[Li-Yuan], Hoe, J.K.E.[Jerry Kah Eng], Yan, S.C.[Shui-Cheng], Yu, X.G.[Xin-Guo],
ML-fusion based multi-model human detection and tracking for robust human-robot interfaces,
WACV09(1-8).
IEEE DOI Link 0912
BibRef

Bolme, D.S.[David S.], Beveridge, J.R.[J. Ross], Draper, B.A.[Bruce A.], Lui, Y.M.[Yui Man],
Visual object tracking using adaptive correlation filters,
CVPR10(2544-2550).
IEEE DOI Link 1006
BibRef
Earlier: A1, A4, A3, A2:
Simple real-time human detection using a single correlation filter,
PETS-Winter09(1-8).
IEEE DOI Link 0912
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Lai, J., Ford, J.J., O'Shea, P., Walker, R.,
Hidden Markov Model Filter Banks for Dim Target Detection from Image Sequences,
DICTA08(312-319).
IEEE DOI Link 0812
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Yu, L.P.[Li-Ping], Yao, W.[Wentao],
Pedestrian Detection Fusion Method Based on Mean Shift,
ICMV09(204-207).
IEEE DOI Link 0912
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Figueira, D.[Dario], Moreno, P.[Plinio], Bernardino, A.[Alexandre], Gaspar, J.[José], Santos-Victor, J.[José],
Optical Flow Based Detection in Mixed Human Robot Environments,
ISVC09(I: 223-232).
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Brits, A.M.[Alessio M.], Tapamo, J.R.[Jules R.],
A Shape and Energy Based Approach to Vertical People Separation in Video Surveillance,
ISVC09(II: 345-356).
Springer DOI Link 0911
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Cao, Y.Z.[Yu-Zhen], Chen, L.S.[Lu-Shi], Jia, S.[Shuo],
An Image Based Detection of Pedestrian Crossing,
CISP09(1-5).
IEEE DOI Link 0910
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Zhao, Q., Zhang, G.Y., Wood, R.L., Luo, Z.W.,
Video Based Real-Time Pedestrian Detection on Zebra Cross,
CISP09(1-4).
IEEE DOI Link 0910
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Ding, W.R.[Wen-Rui], Li, H.G.[Hong-Guang], Jiang, Z.[Zhe], Li, X.J.[Xin-Jun],
Unsupervised Spatio-Temporal Multi-Human Detection and Recognition in Complex Scene,
CISP09(1-5).
IEEE DOI Link 0910
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Rapus, M.[Martin], Munder, S.[Stefan], Baratoff, G.[Gregory], Denzler, J.[Joachim],
Pedestrian Detection by Probabilistic Component Assembly,
DAGM09(91-100).
Springer DOI Link 0909
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Pang, J.B.[Jun-Biao], Huang, Q.M.[Qing-Ming], Jiang, S.Q.A.[Shu-Qi-Ang],
Multiple Instance Boost Using Graph Embedding Based Decision Stump for Pedestrian Detection,
ECCV08(IV: 541-552).
Springer DOI Link 0810
BibRef

Habe, H.[Hitoshi], Nakagawa, H.[Hidehito], Kidode, M.[Masatsugu],
Efficient acquisition of human existence priors from motion trajectories,
VCL-ViSU09(85-91).
IEEE DOI Link 0906
Person detection based on prior trajectories. BibRef

Schwartz, W.R.[William Robson], Davis, L.S.[Larry S.], Pedrini, H.[Helio],
Local Response Context Applied to Pedestrian Detection,
CIARP11(181-188).
Springer DOI Link 1111
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Schwartz, W.R.[William R.], Kembhavi, A.[Aniruddha], Harwood, D.[David], Davis, L.S.[Larry S.],
Human Detection Using Partial Least Squares Analysis,
ICCV09(24-31).
IEEE DOI Link 0909
See also Vehicle Detection Using Partial Least Squares. BibRef

Schwartz, W.R.[William Robson], Gopalan, R.[Raghuraman], Chellappa, R.[Rama], Davis, L.S.[Larry S.],
Robust Human Detection under Occlusion by Integrating Face and Person Detectors,
ICB09(970-979).
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See also Robust and Scalable Approach to Face Identification, A. BibRef

Lu, H.C.[Hu-Chuan], Jia, C.H.[Chun-Hua], Zhang, R.J.[Rui-Juan],
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ICPR08(1-4).
IEEE DOI Link 0812
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Cao, T.P.[Tam Phuong], Deng, G.[Guang], Elton, D.[Darrell],
Fast Vision-Based Object Recognition Using Combined Integral Map,
CVS09(445-454).
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Cao, T.P.[Tam Phuong], Deng, G.[Guang], Mulligan, D.[David],
Implementation of real-time pedestrian detection on FPGA,
IVCNZ08(1-6).
IEEE DOI Link 0811
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Yamauchi, Y.[Yuji], Fujiyoshi, H.[Hironobu], Hwang, B.W.[Bon-Woo], Kanade, T.[Takeo],
People detection based on co-occurrence of appearance and spatiotemporal features,
ICPR08(1-4).
IEEE DOI Link 0812
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Thome, N.[Nicolas], Ambellouis, S.[Sebastien],
A bottom-up, view-point invariant human detector,
ICPR08(1-4).
IEEE DOI Link 0812
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Chuang, C.H.[Cheng-Hsiung], Huang, S.S.[Shih-Shinh], Fu, L.C.[Li-Chen], Hsiao, P.Y.[Pei-Yung],
Monocular multi-human detection using Augmented Histograms of Oriented Gradients,
ICPR08(1-4).
IEEE DOI Link 0812
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Meng, L.[Long], Li, L.[Liang], Mei, S.[Shuqi], Wu, W.G.[Wei-Guo],
Directional entropy feature for human detection,
ICPR08(1-4).
IEEE DOI Link 0812
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Li, Y.[Yuan], Wu, B.[Bo], Nevatia, R.[Ram],
Human detection by searching in 3d space using camera and scene knowledge,
ICPR08(1-5).
IEEE DOI Link 0812
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Jones, M.J.[Michael J.], Snow, D.[Daniel],
Pedestrian detection using boosted features over many frames,
ICPR08(1-4).
IEEE DOI Link 0812
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Park, J.M.[Jung-Me], Luo, Y.[Yun], Wang, H.X.[Hao-Xing], Murphey, Y.L.[Yi L.],
Pedestrian detection by modeling local convex shape features,
ICPR08(1-4).
IEEE DOI Link 0812
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Watanabe, T.[Tomoki], Ito, S.[Satoshi], Yokoi, K.[Kentaro],
Co-occurrence Histograms of Oriented Gradients for Pedestrian Detection,
PSIVT09(37-47).
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Leyrit, L.[Laetitia], Chateau, T.[Thierry], Tournayre, C.[Christophe], Lapreste, J.T.[Jean-Thierry],
Visual pedestrian recognition in weak classifier space using nonlinear parametric models,
ICIP08(2392-2395).
IEEE DOI Link 0810
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Abramson, Y., Steux, B.,
Hardware-friendly pedestrian detection and impact prediction,
IVS04(590-595).
IEEE Abstract. 0411
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Colombo, A.[Alberto], Orwell, J.[James], Velastin, S.A.[Sergio A.],
Colour Constancy Techniques for Re-Recognition of Pedestrians from Multiple Surveillance Cameras,
M2SFA208(xx-yy). 0810
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Barnard, M.[Mark], Heikkilä, J.[Janne],
On Bin Configuration of Shape Context Descriptors in Human Silhouette Classification,
ACIVS08(xx-yy).
Springer DOI Link 0810
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Enzweiler, M.[Markus], Gavrila, D.M.[Dariu M.],
Integrated pedestrian classification and orientation estimation,
CVPR10(982-989).
IEEE DOI Link 1006
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Earlier:
A mixed generative-discriminative framework for pedestrian classification,
CVPR08(1-8).
IEEE DOI Link 0806
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Wang, X.Y.[Xioa-Yu], Han, T.X.[Tony X.], Yan, S.C.[Shui-Cheng],
An HOG-LBP Human Detector with Partial Occlusion Handling,
ICCV09(32-39).
IEEE DOI Link 0909
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Mu, Y.D.[Ya-Dong], Yan, S.C.[Shui-Cheng], Liu, Y.[Yi], Huang, T.[Thomas], Zhou, B.F.[Bing-Feng],
Discriminative local binary patterns for human detection in personal album,
CVPR08(1-8).
IEEE DOI Link 0806
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Zhang, C.[Cha], Hamid, R.[Raffay], Zhang, Z.Y.[Zheng-You],
Taylor expansion based classifier adaptation: Application to person detection,
CVPR08(1-8).
IEEE DOI Link 0806
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Li, L.Y.[Li-Yuan], Leung, M.K.H.[Maylor K.H.],
Unsupervised learning of human perspective context using ME-DT for efficient human detection in surveillance,
CVPR08(1-8).
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Begard, J., Allezard, N., Sayd, P.,
Real-time human detection in urban scenes: Local descriptors and classifiers selection with AdaBoost-like algorithms,
OTCBVS08(1-8).
IEEE DOI Link 0806
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Earlier:
Real-Time Humans Detection in Urban Scenes,
BMVC07(xx-yy).
PDF Version. 0709
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Wang, C.C.R.[Chi-Chen Raxle], Lien, J.J.J.[Jenn-Jier James],
AdaBoost Learning for Human Detection Based on Histograms of Oriented Gradients,
ACCV07(I: 885-895).
Springer DOI Link 0711
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Duan, G.Q.[Gen-Quan], Ai, H.Z.[Hai-Zhou], Lao, S.H.[Shi-Hong],
Human Detection in Video over Large Viewpoint Changes,
ACCV10(II: 683-696).
Springer DOI Link 1011
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And:
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ECCV10(VI: 238-251).
Springer DOI Link 1009
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Duan, G.Q.[Gen-Quan], Huang, C.[Chang], Ai, H.Z.[Hai-Zhou], Lao, S.H.[Shi-Hong],
Boosting Associated Pairing Comparison Features for pedestrian detection,
VS09(1097-1104).
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Gao, W.[Wei], Ai, H.Z.[Hai-Zhou], Lao, S.H.[Shi-Hong],
Adaptive Contour Features in oriented granular space for human detection and segmentation,
CVPR09(1786-1793).
IEEE DOI Link 0906
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Hou, C.[Cong], Ai, H.Z.[Hai-Zhou], Lao, S.H.[Shi-Hong],
Multiview Pedestrian Detection Based on Vector Boosting,
ACCV07(I: 210-219).
Springer DOI Link 0711
See also High-Performance Rotation Invariant Multiview Face Detection. BibRef

Goel, D.[Dhiraj], Chen, T.H.[Tsu-Han],
Pedestrian Detection Using Global-Local Motion Patterns,
ACCV07(I: 220-229).
Springer DOI Link 0711
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And:
Real-Time Pedestrian Detection using Eigenflow,
ICIP07(III: 229-232).
IEEE DOI Link 0709
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Chen, Y.T.[Yu-Ting], Chen, C.S.[Chu-Song],
A Cascade of Feed-Forward Classifiers for Fast Pedestrian Detection,
ACCV07(I: 905-914).
Springer DOI Link 0711
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Schulz, W.[Wolfgang], Enzweiler, M.[Markus], Ehlgen, T.[Tobias],
Pedestrian Recognition from a Moving Catadioptric Camera,
DAGM07(456-465).
Springer DOI Link 0709
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Shet, V.D.[Vinay D.], Neumann, J.[Jan], Ramesh, V.[Visvanathan], Davis, L.S.[Larry S.],
Bilattice-based Logical Reasoning for Human Detection,
CVPR07(1-8).
IEEE DOI Link 0706
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Gallagher, A.C.[Andrew C.], Blose, A.C.[Andrew C.], Chen, T.H.[Tsu-Han],
Jointly Estimating Demographics and Height with a Calibrated Camera,
ICCV09(1187-1194).
IEEE DOI Link 0909
See also ground truth based vanishing point detection algorithm, A. BibRef

Gallagher, A.C.[Andrew C.], Chen, T.H.[Tsu-Han],
Understanding images of groups of people,
CVPR09(256-263).
IEEE DOI Link 0906
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Gallagher, A.C.[Andrew C.], Chen, T.H.[Tsu-Han],
Using a Markov Network to Recognize People in Consumer Images,
ICIP07(IV: 489-492).
IEEE DOI Link 0709
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And:
Using Group Prior to Identify People in Consumer Images,
SLAM07(1-8).
IEEE DOI Link 0706
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Feris, R.S.[Rogerio S.], Tian, Y.L.[Ying-Li], Hampapur, A.[Arun],
Capturing People in Surveillance Video,
VS07(1-8).
IEEE DOI Link 0706
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Sabzmeydani, P.[Payam], Mori, G.[Greg],
Detecting Pedestrians by Learning Shapelet Features,
CVPR07(1-8).
IEEE DOI Link 0706
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Parikh, D.[Devi], Zitnick, C.L.[C. Lawrence],
Finding the weakest link in person detectors,
CVPR11(1425-1432).
IEEE DOI Link 1106
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Sivic, J., Zitnick, C.L., Szeliski, R.S.[Richard S.],
Finding people in repeated shots of the same scene,
BMVC06(III:909).
PDF Version. 0609
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Davis, L.S.[Larry S.],
Segmenting people in small groups,
VSSN06(1-2).
WWW Version. 0701
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Zhao, S.L.[San-Lung], Lee, H.J.[Hsi-Jian],
Human Silhouette Extraction based on HMM,
ICPR06(II: 994-997).
IEEE DOI Link 0609
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Yang, T.[Tao], Li, J.[Jing], Pan, Q.[Quan], Zhao, C.H.[Chun-Hui], Zhu, Y.Q.A.[Yi-Qi-Ang],
Active Learning Based Pedestrian Detection in Real Scenes,
ICPR06(IV: 904-907).
IEEE DOI Link 0609
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Harasse, S.[Sebastien], Bonnaud, L.[Laurent], Desvignes, M.[Michel],
A Human Model for Detecting People in Video from Low Level Features,
ICIP06(1845-1848).
IEEE DOI Link 0610
BibRef
Earlier:
Human model for people detection in dynamic scenes,
ICPR06(I: 335-354).
IEEE DOI Link 0609
BibRef

Yeh, M.C.[Mei-Chen], Cheng, K.T.[Kwang-Ting],
Fast Visual Retrieval Using Accelerated Sequence Matching,
MultMed(13), No. 2, 2011, pp. 320-329.
IEEE DOI Link 1103
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Zhu, Q.A.[Qi-Ang], Yeh, M.C.[Mei-Chen], Cheng, K.T.[Kwang-Ting], Avidan, S.[Shai],
Fast Human Detection Using a Cascade of Histograms of Oriented Gradients,
CVPR06(II: 1491-1498).
IEEE DOI Link 0606
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Galasso, F.[Fabio], Iwasaki, M.[Masahiro], Nobori, K.[Kunio], Cipolla, R.[Roberto],
Spatio-temporal clustering of probabilistic region trajectories,
ICCV11(1738-1745).
IEEE DOI Link 1201
for pedestrian trajectories BibRef

Brostow, G.J.[Gabriel J.], Cipolla, R.[Roberto],
Unsupervised Bayesian Detection of Independent Motion in Crowds,
CVPR06(I: 594-601).
IEEE DOI Link 0606
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Scotti, G., Cuocolo, A., Coelho, C., Marchesotti, L.,
A Novel Pedestrian Classification Algorithm for a High Definition Dual Camera 360 Degrees Surveillance System,
ICIP05(III: 880-883).
IEEE DOI Link 0512
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Mori, G.[Greg],
Guiding Model Search Using Segmentation,
ICCV05(II: 1417-1423).
IEEE DOI Link 0510
Segmentation into "suprepixels" (small regions). Human model composed of sets of superpixels, joints in center of one. BibRef

Zhao, L.[Liang], Davis, L.S.[Larry S.],
Closely Coupled Object Detection and Segmentation,
ICCV05(I: 454-461).
IEEE DOI Link 0510
BibRef
And:
Segmentation and Appearance Model Building from an Image Sequence,
ICIP05(I: 321-324).
IEEE DOI Link 0512
Link detection and segmentation, not separate tasks. BibRef

Castillo, C.[Carlos], Chang, C.[Carolina],
An Approach to Vision-Based Person Detection in Robotic Applications,
IbPRIA05(I:209).
Springer DOI Link 0509
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Dalal, N.[Navneet], Triggs, B.[Bill], Schmid, C.[Cordelia],
Human Detection Using Oriented Histograms of Flow and Appearance,
ECCV06(II: 428-441).
Springer DOI Link 0608
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Dalal, N.[Navneet], Triggs, B.[Bill],
Histograms of Oriented Gradients for Human Detection,
CVPR05(I: 886-893).
IEEE DOI Link 0507
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Dalal, N.[Navneet],
INRIA Person Dataset,
Online2005
WWW Version. Dataset, Human Motion. The collected dataset for the above paper, from various sources. BibRef 0500

Liu, Z.Y.[Zong-Yi], Sarkar, S.[Sudeep],
Challenges in Segmentation of Human Forms in Outdoor Video,
PercOrg04(43).
IEEE DOI Link 0502
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Owechko, Y., Medasani, S.,
A Swarm-Based Volition/Attention Framework for Object Recognition,
AttenPerf05(III: 91-91).
IEEE DOI Link 0507
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Lombardi, P., Zavidovique, B.,
A context-dependent vision system for pedestrian detection,
IVS04(578-583).
IEEE Abstract. 0411
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And:
Architectural design issues for bayesian contextual vision,
ICPR04(I: 753-756).
IEEE DOI Link 0409
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Dante, A., Brookes, M., Constantinides, A.G.,
Robust multi-body segmentation,
BMVC03(xx-yy).
HTML Version. 0409
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Haga, T., Sumi, K., Yagi, Y.,
Human detection in outdoor scene using spatio-temporal motion analysis,
ICPR04(IV: 331-334).
IEEE DOI Link 0409
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Ramoser, H., Schlogl, T., Beleznai, C., Winter, M., Bischof, H.,
Shape-based detection of humans for video surveillance applications,
ICIP03(III: 1013-1016).
IEEE Abstract. 0312
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Ballerini, L.[Lucia],
Multiple Genetic Snakes for People Segmentation in Video Sequences,
SCIA03(275-282).
WWW Version. 0310
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Lee, L., Dalley, G., Tieu, K.,
Learning pedestrian models for silhouette refinement,
ICCV03(663-670).
IEEE DOI Link 0311
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Leo, M., Spagnolo, P., Attolico, G., Distante, A.,
Shape Based People Detection for Visual Surveillance Systems,
AVBPA03(285-293).
HTML Version. 0310
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Lefee, D., Mousset, S., Bertozzi, M., Bensrhair, A.,
Cooperation of passive vision systems in detection and tracking of pedestrians,
IVS04(768-773).
IEEE Abstract. 0411
See also Vehicle Detection by Means of Stereo Vision-Based Obstacles Features Extraction and Monocular Pattern Analysis. BibRef

Sprague, N., Luo, J.B.[Jie-Bo],
Clothed people detection in still images,
ICPR02(III: 585-589).
IEEE DOI Link 0211
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Vendrig, J.[Jeroen], Worring, M.[Marcel],
Multimodal Person Identification in Movies,
CIVR02(175-185).
HTML Version. 0208
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Utsumi, A., Tetsutani, N.,
Human detection using geometrical pixel value structures,
AFGR02(34-39).
IEEE DOI Link 0206
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Ozer, I.B., Wolf, W.,
Human Detection in Compressed Domain,
ICIP01(III: 274-277).
IEEE Abstract. 0108
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Ozer, I.B., Wolf, W.,
Real-time posture and activity recognition,
Motion02(133-138).
IEEE Abstract. 0303
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Stauffer, C.[Chris], Antone, M.,
Translation Templates for Object Matching Across Predictable Pose Variation,
BMVC06(III:219).
PDF Version. 0609
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Stauffer, C., Grimson, W.E.L.,
Similarity Templates for Detection and Recognition,
CVPR01(I:221-228).
IEEE Abstract. 0110
How to represent pedestrians, region based BibRef

Wöhler, C., Kreßel, U., Anlauf, J.K.,
Pedestrian Recognition by Classification of Image Sequences: Global Approaches vs. Local Spatio-temporal Processing,
ICPR00(Vol II: 540-544).
IEEE DOI Link 0009
See also Real-time object recognition on image sequences with the adaptable time delay neural network algorithm applications for autonomous vehicles. See also Time Delay Neural Network Algorithm for Estimating Image-Pattern Shape and Motion, A. BibRef

Heisele, B.[Bernd], Wöhler, C.[Christian],
Motion-Based Recognition of Pedestrians,
ICPR98(Vol II: 1325-1330).
IEEE DOI Link 9808
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Yamada, M., Ebihara, K., Ohya, J.,
New Robust Real-Time Method for Extracting Human Silhouettes from Color Images,
AFGR98(528-533).
IEEE DOI Link BibRef 9800

Pujol, A., Lumbreras, F., Varona, X., Villanueva, J.J.[Juan J.],
Locating People in Indoor Scenes for Real Applications,
ICPR00(Vol IV: 632-635).
IEEE DOI Link 0009
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Lee, M.S.[Mi-Suen],
Detecting People in Cluttered Indoor Scenes,
CVPR00(I: 804-809).
IEEE Abstract.
IEEE DOI Link 0005
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Faulhaber, D., Niemann, H., Weierich, P.,
Detection of Crowds of People by Use of Wavelet Features and Parameter Free Statistical Models,
MVA98(xx-yy). BibRef 9800

Munkelt, O.[Olaf], Ridder, C.[Christof], Hansel, D.[David], Hafner, W.[Walter],
A Model Driven 3D Image Interpretation System Applied to Person Detection in Video Images,
ICPR98(Vol I: 70-73).
IEEE DOI Link 9808
BibRef

Steffens, J.B.[Johannes Bernhard], Elagin, E.V.[Egor Valerievich], Neven, H.[Hartmut],
PersonSpotter: Fast and Robust System for Human Detection, Tracking and Recognition,
AFGR98(516-521).
IEEE DOI Link BibRef 9800

Kuno, Y., Watanabe, T., Shimosakoda, Y., Nakagawa, S.,
Automated Detection of Human for Visual Surveillance System,
ICPR96(III: 865-869).
IEEE DOI Link 9608
(Kanasi Laboratory, J) BibRef

Vannoorenberghe, P.[Patrick], Motamed, C.[Cina], Blosseville, J.M.[Jean-Marc], Postaire, J.G.[Jack-Gérard],
Automatic pedestrian recognition using real-time motion analysis,
CIAP97(II: 493-500).
WWW Version. 9709
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Kosugi, M.[Makoto], Yamashita, K.[Kouji],
Person identification system based on a trapezoid pyramid architecture of a gray-level image,
CIAP97(II: 501-508).
WWW Version. 9709
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Kinzel, W.,
Pedestrian Recognition by Modelling their Shapes and Movements,
IAP-III1994, pp. 547-554. BibRef 9400

Kinzel, W., Dickmanns, E.D.,
Moving Humans Recognition Using Spatio-Temporal Models,
ISPRS92(xx). BibRef 9200

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Detection, People Detection, Pedestrians, Using Depth, Stereo .