16.7.4.1 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

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

Zhao, L., Thorpe, C.E.,
Stereo- and neural network-based pedestrian detection,
ITS(1), No. 3, September 2000, pp. 148-154.
IEEE Abstract. IEEE Top Reference. 0402
BibRef

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. IEEE Top Reference. 0402
BibRef

Papageorgiou, C.P.[Constantine P.], Poggio, T.[Tomaso],
A Trainable System for Object Detection,
IJCV(38), No. 1, June 2000, pp. 15-33.
WWW Version. 0006
BibRef
Earlier:
A Pattern Classification Approach to Dynamical Object Detection,
ICCV99(1223-1228).
IEEE DOI Link BibRef
And:
Trainable Pedestrian Detection,
ICIP99(IV:35-39).
IEEE Abstract. IEEE Top Reference. Object detection in Video using wavelets. BibRef

Papageorgiou, C.P.[Constantine P.],
A Trainable System for Object Detection in Images and Video Sequences,
MIT AI-TR-1685, May 2000. BibRef 0005 Ph.D.Thesis, May 2000.
WWW Version. 0105
BibRef

Mohan, A.[Anuj], Papageorgiou, C.P.[Constantine P.], Poggio, T.[Tomaso],
Example-Based Object Detection in Images by Components,
PAMI(23), No. 4, April 2001, pp. 349-361.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0001
Locate people in cluttered scenes by finding the 4 components -- head, legs, left arm, and right arm, then a second classifier is applied to exclude non-persons. BibRef

Papageorgiou, C.P.[Constantine P.], Evgeniou, T.[Theodoros], Poggio, T.[Tomaso],
A Trainable Object Detection System,
DARPA98(1019-1024). BibRef 9800
And:
A trainable pedestrian detection system,
IVS98(xx-yy). BibRef

Papageorgiou, C.P.[Constantine P.], Oren, M.[Michael], and Poggio, T.[Tomaso],
A General Framework for Object Detection,
ICCV98(555-562).
IEEE DOI Link BibRef 9800

Oren, M.[Michael], Papageorgiou, C.P.[Constantine P.], Sinha, P.[Pawan], Osuna, E.[Edgar], Poggio, T.[Tomaso],
Pedestrian Detection Using Wavelet Templates,
CVPR97(193-199).
IEEE Abstract. IEEE Top Reference.
WWW Version. 9704
BibRef
And:
A Trainable System for People Detection,
DARPA97(207-214). Template average wavelet representations. vertical/horizontal/corner BibRef

Iketani, A.[Akihiko], Nagai, A.[Atsushi], Kuno, Y.[Yoshinori], Shirai, Y.[Yoshiaki],
Real-Time Surveillance System Detecting Persons in Complex Scenes,
RealTimeImg(7), No. 5, October 2001, pp. 433-446.
WWW Version. 0110
BibRef
Earlier:
Detecting Persons on Changing Background,
ICPR98(Vol I: 74-76).
IEEE DOI Link 9808
BibRef
Earlier: A1, A3, Add Shimada, N., A4 Only: CIAP99(1112-1115).
IEEE DOI Link 9909
BibRef

Nagai, A., Kuno, Y., Shirai, Y.,
Surveillance system based on spatio-temporal information,
ICIP96(II: 593-596).
IEEE DOI Link 9610
BibRef

Ioffe, S.[Sergey], Forsyth, D.A.[David A.],
Probabilistic Methods for Finding People,
IJCV(43), No. 1, June 2001, pp. 45-68.
WWW Version. Or:
PDF Version. 0108
BibRef
Earlier:
Finding People by Sampling,
ICCV99(1092-1097).
IEEE DOI Link Find candidate parts then assemble those that are consistent with being a person. Not all combinations can be tested, use a sampling approach. Segmentation into parts is the limiting factor. BibRef

Ioffe, S.[Sergey], Forsyth, D.A.[David A.],
Mixtures of Trees for Object Recognition,
CVPR01(II:180-185).
IEEE Abstract. IEEE Top Reference. 0110
BibRef
And:
Human Tracking with Mixtures of Trees,
ICCV01(I: 690-695).
IEEE DOI Link Or:
PDF Version. 0106
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.
HTML Version. 0206
BibRef

Fan, L.X.[Li-Xin], Sung, K.K.[Kah-Kay], Ng, T.K.[Teck-Khim],
Pedestrian registration in static images with unconstrained background,
PR(36), No. 4, April 2003, pp. 1019-1029.
WWW Version. 0304
BibRef

Metoyer, R.A.[Ronald A.], Hodgins, J.K.[Jessica K.],
Reactive pedestrian path following from examples,
VC(20), No. 10, December 2004, pp. 635-649.
Springer DOI Link 0412
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

Munder, S., Gavrila, D.M.[Dariu M.],
An Experimental Study on Pedestrian Classification,
PAMI(28), No. 11, November 2006, pp. 1863-1868.
IEEE DOI Link
PDF Version. 0609
Dataset available:
HTML Version. Dataset, Pedestrians. DaimlerChrysler Res. Investigate global versus local and adaptive versus nonadaptive features. PCA coefficients, Haar wavelets, and local receptive fields (LRFs). SVM, Neural Nets, K-NN classifiers. Combination of SVMs with LRF features performs best. And boosted cascade of Haar wavelets is close. BibRef

Mählisch, M., Oberländer, M., Löhlein, O., Gavrila, D.M., and Ritter, W.,
A Multiple Detector Approach to Low-Resolution FIR Pedestrian Recognition,
IVS05(xx-yy).
PDF Version. BibRef 0500

Gavrila, D.M.[Dariu M.], Giebel, J., Munder, S.,
Vision-based pedestrian detection: the PROTECTOR system,
IVS04(13-18).
IEEE Abstract. IEEE Top Reference. 0411
Although promising, not yet ready for prime time. BibRef

Gavrila, D.M.,
Looking at people,
AVSBS07(1-1).
IEEE DOI Link 0709
BibRef

Munder, S., Schnorr, C., Gavrila, D.M.,
Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models,
ITS(9), No. 2, June 2008, pp. 333-343.
IEEE DOI Link 0806
BibRef

Giebel, J., Gavrila, D.M., Schnörr, C.,
A Bayesian Framework for Multi-cue 3D Object Tracking,
ECCV04(Vol IV: 241-252).
WWW Version.
PDF Version. 0405
Integrate object detection. Apply to pedestrians. For video examples:
WWW Version. BibRef

Gavrila, D.M.[Dariu M.],
Sensor-based Pedestrian Protection,
IEEE_Int_Sys(16), No. 6, 2001, pp. 77-81.
PDF Version. BibRef 0100
Earlier:
Pedestrian Detection from a Moving Vehicle,
ECCV00(II: 37-49).
WWW Version. 0003
BibRef

Gavrila, D.M., Munder, S.,
Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle,
IJCV(73), No. 1, June 2007, pp. 41-59.
Springer DOI Link 0702
BibRef

Gavrila, D.M.[Dariu M.], Philomin, V.,
Real-Time Object Detection for Smart Vehicles,
ICCV99(87-93).
IEEE DOI Link
PDF Version. BibRef 9900

Hu, W.M.[Wei-Ming], Wu, O.[Ou], Chen, Z.Y.[Zhou-Yao], Fu, Z.Y.[Zhou-Yu], Maybank, S.J.[Steve J.],
Recognition of Pornographic Web Pages by Classifying Texts and Images,
PAMI(29), No. 6, June 2007, pp. 1019-1034.
IEEE DOI Link 0704
Decision tree divide into text and image pages to handle separately. Image analyzed using contour features. Performs better than color alone. 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

Wu, B.[Bo], Nevatia, R.[Ram],
Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors,
IJCV(75), No. 2, November 2007, pp. 247-266.
Springer DOI Link 0710
BibRef
Earlier:
Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection,
CVPR06(I: 951-958).
IEEE DOI Link 0606
BibRef
And:
Tracking of Multiple Humans in Meetings,
V4HCI06(143).
IEEE DOI Link 0609
BibRef
Earlier:
Detection of Multiple, Partially Occluded Humans in a Single Image by Bayesian Combination of Edgelet Part Detectors,
ICCV05(I: 90-97).
IEEE DOI Link 0510
BibRef

Huang, C.[Chang], Wu, B.[Bo], Nevatia, R.[Ramakant],
Robust Object Tracking by Hierarchical Association of Detection Responses,
ECCV08(II: 788-801).
Springer DOI Link 0810
BibRef

Wu, B.[Bo], Nevatia, R.[Ram],
Simultaneous Object Detection and Segmentation by Boosting Local Shape Feature based Classifier,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef

Wu, B.[Bo], Nevatia, R.[Ram],
Cluster Boosted Tree Classifier for Multi-View, Multi-Pose Object Detection,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef
Earlier:
Improving Part based Object Detection by Unsupervised, Online Boosting,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef

Wu, B.[Bo], Zhang, L.[Li], Singh, V.K.[Vivek Kumar], Nevatia, R.[Ram],
Robust Object Tracking based on Detection with Soft Decision,
Motion08(1-8).
IEEE DOI Link 0801
BibRef

Li, Y.[Yuan], Nevatia, R.[Ram],
Key Object Driven Multi-category Object Recognition, Localization and Tracking Using Spatio-temporal Context,
ECCV08(IV: 409-422).
Springer DOI Link 0810
BibRef

Zhang, L.[Li], Li, Y.[Yuan], Nevatia, R.[Ramakant],
Global data association for multi-object tracking using network flows,
CVPR08(1-8).
IEEE DOI Link
PDF Version. 0806
BibRef

Zhang, L.[Li], Nevatia, R.[Ramakant],
Efficient scan-window based object detection using GPGPU,
CVGPU08(1-7).
IEEE DOI Link
PDF Version. 0806
BibRef

Singh, V.K.[Vivek Kumar], Wu, B.[Bo], Nevatia, R.[Ramakant],
Pedestrian Tracking by Associating Tracklets using Detection Residuals,
Motion08(1-8).
IEEE DOI Link 0801
BibRef

Zhang, L.[Li], Wu, B.[Bo], Nevatia, R.[Ram],
Detection and Tracking of Multiple Humans with Extensive Pose Articulation,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef
And:
Pedestrian Detection in Infrared Images based on Local Shape Features,
OTCBVS07(1-8).
IEEE DOI Link 0706
BibRef

Fujie, H.[Hidekatsu],
Monitoring system and method,
US_Patent7,158,038, Jan 2, 2007
WWW Version. Human motion detection BibRef 0701

Cao, X.B., Qiao, H., 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

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). 0610

IEEE DOI Link BibRef

Leibe, B.[Bastian], Schindler, K.[Konrad], Cornelis, N.[Nico], Van Gool, L.J.[Luc J.],
Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles,
PAMI(30), No. 10, October 2008, pp. 1683-1698.
IEEE DOI Link 0810
BibRef
Earlier: A1, A2, A4, Only:
Coupled Detection and Trajectory Estimation for Multi-Object Tracking,
ICCV07(1-8).
IEEE DOI Link Award, CVPR. 0710
At each step search for global set of trajectories that best fit the data. BibRef

Kelly, P.[Philip], O'Connor, N.E.[Noel E.], Smeaton, A.F.[Alan F.],
A Framework for Evaluating Stereo-Based Pedestrian Detection Techniques,
CirSysVideo(18), No. 8, August 2008, pp. 1163-1167.
IEEE DOI Link 0809
BibRef
Earlier:
Pedestrian detection in uncontrolled environments using stereo and biometric information,
VSSN06(161-170).
WWW Version. 0701
BibRef

Kelly, P.[Philip], O'Connor, N.E.[Noel E.], Smeaton, A.F.[Alan F.],
Robust pedestrian detection and tracking in crowded scenes,
IVC(27), No. 10, 2 September 2009, pp. 1445-1458.
Elsevier DOI Link
WWW Version. 0906
Pedestrian detection; Pedestrian tracking; Stereo; Crowds BibRef

Kelly, P.[Philip], Cooke, E.[Eddie], O'Connor, N.E.[Noel E.], Smeaton, A.F.[Alan F.],
Pedestrian Detection Using Stereo and Biometric Information,
ICIAR06(II: 802-813).
Springer DOI Link 0610
BibRef

Haciomeroglu, M., Laycock, R.G., Day, A.M.,
Automatic spatial analysis and pedestrian flow control for real-time crowd simulation in an urban environment,
VC(24), No. 10, October 2008, pp. xx-yy.
Springer DOI Link 0804
BibRef

Paisitkriangkrai, S.[Sakrapee], Shen, C.H.[Chun-Hua], Zhang, J.[Jian],
Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features,
CirSysVideo(18), No. 8, August 2008, pp. 1140-1151.
IEEE DOI Link 0809
BibRef
And:
Real-time Pedestrian Detection Using a Boosted Multi-layer Classifier,
VS08(xx-yy). 0810
BibRef

Paisitkriangkrai, S.[Sakrapee], Shen, C.H.[Chun-Hua], Zhang, J.[Jian],
Performance evaluation of local features in human classification and detection,
IET-CV(2), No. 4, December 2008, pp. 236-246.
WWW Version. 0905
BibRef

Snoek, J.[Jasper], Hoey, J.[Jesse], Stewart, L.[Liam], Zemel, R.S.[Richard S.], Mihailidis, A.[Alex],
Automated Detection of Unusual Events on Stairs,
IVC(27), No. 1-2, January 2009, pp. 153-166.
WWW Version. 0811
BibRef
Earlier: A1, A2, A3, A4, Only: CRV06(5-5).
IEEE DOI Link 0607
Human motion analysis; Hidden Markov model; Gait analysis; Anomaly detection; Event recognition; Bayesian tracking; Particle filter; Automated video analysis; Machine learning; Biomedical analysis; Stairs 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

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

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

Kim, H.H., Ha, K.N., Lee, S., Lee, K.C.,
Resident Location-Recognition Algorithm Using a Bayesian Classifier in the PIR Sensor-Based Indoor Location-Aware System,
SMC-C(39), No. 2, March 2009, pp. 240-245.
IEEE DOI Link 0903
BibRef

Ma, Y.Q.[Yun-Qian], Yu, Q.[Qian], Cohen, I.[Isaac],
Target tracking with incomplete detection,
CVIU(113), No. 4, April 2009, pp. 580-587.
Elsevier DOI Link
WWW Version. 0903
BibRef
Earlier:
Multiple Hypothesis Target Tracking Using Merge and Split of Graph's Nodes,
ISVC06(I: 783-792).
Springer DOI Link
PDF Version. 0611
Multiple target tracking; Split and merge of detected regions; Maximum a posteriori BibRef

Yu, Q.[Qian], Medioni, G.[Gerard],
Multiple-Target Tracking by Spatiotemporal Monte Carlo Markov Chain Data Association,
PAMI(31), No. 12, December 2009, pp. 2196-2210.
IEEE DOI Link 0911
BibRef
Earlier:
Integrated Detection and Tracking for Multiple Moving Objects using Data-Driven MCMC Data Association,
Motion08(1-8).
IEEE DOI Link
PDF Version. 0801
BibRef
Earlier:
Map-Enhanced Detection and Tracking from a Moving Platform with Local and Global Data Association,
Motion07(3-3).
IEEE DOI Link
PDF Version. 0702
Apply espceciall to people tracking, but also vehicles. BibRef

Yu, Q.[Qian], Dinh, T.B.[Thang Ba], Medioni, G.[Gérard],
Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers,
ECCV08(II: 678-691).
Springer DOI Link 0810
BibRef

Yu, Q.[Qian], Medioni, G.[Gerard], Cohen, I.[Isaac],
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association,
CVPR07(1-8).
IEEE DOI Link
PDF Version. 0706
BibRef

Yu, Q.[Qian], Cohen, I.[Isaac], Medioni, G.[Gerard], Wu, B.[Bo],
Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking,
ICPR06(II: 675-678).
WWW Version.
PDF Version. 0609
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

Hussein, M.[Mohamed], Porikli, F.M.[Fatih M.], Davis, L.S.[Larry S.],
A Comprehensive Evaluation Framework and a Comparative Study for Human Detectors,
ITS(10), No. 3, September 2009, pp. 417-427.
IEEE DOI Link 0909
BibRef

Enzweiler, M.[Markus], Gavrila, D.M.[Dariu M.],
Monocular Pedestrian Detection: Survey and Experiments,
PAMI(31), No. 12, December 2009, pp. 2179-2195.
IEEE DOI Link 0911
Survey, Pedestrian Detection. See also Daimler Pedestrian Detection Benchmark. wavelet-based AdaBoost cascade [74], HOG/linSVM [11], NN/LRF [75], and combined shape-texture detection [23] BibRef

Seemann, E., Leibe, B., Mikolajczyk, K.[Krystian], Schiele, B.,
An Evaluation of Local Shape-Based Features for Pedestrian Detection,
BMVC05(xx-yy).
HTML Version. 0509
BibRef

Conte, D., Foggia, P., Percannella, G., Tufano, F., Vento, M.,
An Algorithm for Detection of Partially Camouflaged People,
AVSBS09(340-345).
IEEE DOI Link 0909
BibRef

Cong, D.N.T.[Dung Nghi Truong], Achard, C.[Catherine], Khoudour, L.[Louahdi], Douadi, L.[Lounis],
Video Sequences Association for People Re-identification across Multiple Non-overlapping Cameras,
CIAP09(179-189).
Springer DOI Link 0909
BibRef

Keller, C.G.[Christoph Gustav], Fernández Llorca, D.[David], Gavrila, D.M.[Dariu M.],
Dense Stereo-Based ROI Generation for Pedestrian Detection,
DAGM09(81-90).
Springer DOI Link 0909
BibRef

Rohrbach, M.[Marcus], Enzweiler, M.[Markus], Gavrila, D.M.[Dariu M.],
High-Level Fusion of Depth and Intensity for Pedestrian Classification,
DAGM09(101-110).
Springer DOI Link 0909
BibRef

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
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. 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

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

Wojek, C.[Christian], Walk, S.[Stefan], Schiele, B.[Bernt],
Multi-cue onboard pedestrian detection,
CVPR09(794-801).
IEEE DOI Link 0906
BibRef

Dollar, P.[Piotr], Wojek, C.[Christian], Schiele, B.[Bernt], Perona, P.[Pietro],
Pedestrian detection: A benchmark,
CVPR09(304-311).
IEEE DOI Link 0906
Evaluation, Pedestrian Detection. BibRef

Bansal, M.[Mayank], Wu, S.[Shunguang], Eledath, J.[Jayan],
Pedestrian association and localization in monocular FIR video sequence,
OTCBVS09(38-45).
IEEE DOI Link 0906
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).
Springer DOI Link 0906
BibRef

Villamizar, M.[Michael], Sanfeliu, A.[Alberto], Andrade-Cetto, J.[Juan],
Local Boosted Features for Pedestrian Detection,
IbPRIA09(128-135).
Springer DOI Link 0906
BibRef
Earlier:
Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions,
IbPRIA07(II: 645-651).
Springer DOI Link 0706
BibRef
Earlier:
Orientation Invariant Features for Multiclass Object Recognition,
CIARP06(655-664).
Springer DOI Link 0611
BibRef
Earlier:
Computation of Rotation Local Invariant Features using the Integral Image for Real Time Object Detection,
ICPR06(IV: 81-85).
WWW Version. 0609
BibRef

Lu, H.C.[Hu-Chuan], Jia, C.H.[Chun-Hua], Zhang, R.J.[Rui-Juan],
An effective method for detection and segmentation of the body of human in the view of a single stationary camera,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Cao, T.P.[Tam Phuong], Deng, G.[Guang], Elton, D.[Darrell],
Fast Vision-Based Object Recognition Using Combined Integral Map,
CVS09(445-454).
Springer DOI Link 0910
BibRef

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
BibRef

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
BibRef

Thome, N.[Nicolas], Ambellouis, S.[Sebastien],
A bottom-up, view-point invariant human detector,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

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
BibRef

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
BibRef

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
BibRef

Jones, M.J.[Michael J.], Snow, D.[Daniel],
Pedestrian detection using boosted features over many frames,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

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
BibRef

Watanabe, T.[Tomoki], Ito, S.[Satoshi], Yokoi, K.[Kentaro],
Co-occurrence Histograms of Oriented Gradients for Pedestrian Detection,
PSIVT09(37-47).
Springer DOI Link 0901
BibRef

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
BibRef

Hamdoun, O.[Omar], Moutarde, F.[Fabien], Stanciulescu, B.[Bogdan], Steux, B.[Bruno],
Interest points harvesting in video sequences for efficient person identification,
VS08(xx-yy). 0810
BibRef
And:
Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences,
ICDSC08(1-6).
IEEE DOI Link 0809
BibRef

Abramson, Y., Steux, B.,
Hardware-friendly pedestrian detection and impact prediction,
IVS04(590-595).
IEEE Abstract. IEEE Top Reference. 0411
BibRef

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
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

Barnard, M.[Mark], Heikkilä, J.[Janne],
On Bin Configuration of Shape Context Descriptors in Human Silhouette Classification,
ACIVS08(xx-yy).
Springer DOI Link 0810
BibRef

Saxena, S.[Shobhit], Brémond, F.[François], Thonnat, M.[Monnique], Ma, R.[Ruihua],
Crowd Behavior Recognition for Video Surveillance,
ACIVS08(xx-yy).
Springer DOI Link 0810
BibRef

Enzweiler, M.[Markus], Gavrila, D.M.[Dariu M.],
A mixed generative-discriminative framework for pedestrian classification,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

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
BibRef

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
BibRef

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).
IEEE DOI Link 0806
BibRef

Eshel, R.[Ran], Moses, Y.[Yael],
Homography based multiple camera detection and tracking of people in a dense crowd,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

El Nabbout, N.M.[Nathalie M.], Zelek, J.S.[John S.], Clausi, D.A.[David A.],
Automatically Detecting and Tracking People Walking through a Transparent Door with Vision,
CRV08(171-178).
IEEE DOI Link 0805
BibRef

Sim, C.H.[Chern-Horng], Rajmadhan, E.[Ekambaram], Ranganath, S.[Surendra],
A Two-Step Approach for Detecting Individuals within Dense Crowds,
AMDO08(xx-yy).
Springer DOI Link 0807
BibRef

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
BibRef
Earlier:
Real-Time Humans Detection in Urban Scenes,
BMVC07(xx-yy).
PDF Version. 0709
BibRef

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
BibRef

Han, Z.J.[Zhen-Jun], Ye, Q.X.[Qi-Xiang], Jiao, J.B.[Jian-Bin],
Online feature evaluation for object tracking using Kalman Filter,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Ye, Q.X.[Qi-Xiang], Jiao, J.B.[Jian-Bin], Yu, H.[Hua],
Multi-posture Human Detection in Video Frames by Motion Contour Matching,
ACCV07(I: 896-904).
Springer DOI Link 0711
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

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
BibRef

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

Li, Y.[Yuan], Ai, H.Z.[Hai-Zhou],
Fast Detection of Independent Motion in Crowds Guided by Supervised Learning,
ICIP07(III: 341-344).
IEEE DOI Link 0709
BibRef

Goel, D.[Dhiraj], Chen, T.H.[Tsu-Han],
Pedestrian Detection Using Global-Local Motion Patterns,
ACCV07(I: 220-229).
Springer DOI Link 0711
BibRef
And:
Real-Time Pedestrian Detection using Eigenflow,
ICIP07(III: 229-232).
IEEE DOI Link 0709
BibRef

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
BibRef

Schulz, W.[Wolfgang], Enzweiler, M.[Markus], Ehlgen, T.[Tobias],
Pedestrian Recognition from a Moving Catadioptric Camera,
DAGM07(456-465).
Springer DOI Link 0709
BibRef

Gerónimo, D.[David], López, A.M.[Antonio M.], Ponsa, D.[Daniel], Sappa, A.D.[Angel D.],
Haar Wavelets and Edge Orientation Histograms for On-Board Pedestrian Detection,
IbPRIA07(I: 418-425).
Springer DOI Link 0706
BibRef

Gerónimo, D.[David], López, A.M.[Antonio M.], Sappa, A.D.[Angel D.],
Computer Vision Approaches to Pedestrian Detection: Visible Spectrum Survey,
IbPRIA07(I: 547-554).
Springer DOI Link 0706
BibRef

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
BibRef

Gallagher, A.C.[Andrew C.], Chen, T.H.[Tsu-Han],
Understanding images of groups of people,
CVPR09(256-263).
IEEE DOI Link 0906
BibRef

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
BibRef
And:
Using Group Prior to Identify People in Consumer Images,
SLAM07(1-8).
IEEE DOI Link 0706
BibRef

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
BibRef

Sabzmeydani, P.[Payam], Mori, G.[Greg],
Detecting Pedestrians by Learning Shapelet Features,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef

Jung, H.G.[Ho Gi], Lee, Y.H.[Yun Hee], Yoon, P.J.[Pal Joo], Hwang, I.Y.[In Yong], Kim, J.H.[Jai-Hie],
Sensor Fusion Based Obstacle Detection/Classification for Active Pedestrian Protection System,
ISVC06(II: 294-305).
Springer DOI Link 0611
BibRef

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
BibRef

Davis, L.S.[Larry S.],
Segmenting people in small groups,
VSSN06(1-2).
WWW Version. 0701
BibRef

Zhao, S.L.[San-Lung], Lee, H.J.[Hsi-Jian],
Human Silhouette Extraction based on HMM,
ICPR06(II: 994-997).
WWW Version. 0609
BibRef

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).
WWW Version. 0609
BibRef

Harasse, S.[Sebastien], Bonnaud, L.[Laurent], Desvignes, M.[Michel],
A Human Model for Detecting People in Video from Low Level Features,
ICIP06(1845-1848). 0610

IEEE DOI Link BibRef
Earlier:
Human model for people detection in dynamic scenes,
ICPR06(I: 335-354).
WWW Version. 0609
BibRef

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
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
BibRef

Lim, J.S.[Jong Seok], Kim, W.H.[Wook Hyun],
Detection and Tracking Multiple Pedestrians from a Moving Camera,
ISVC05(527-534).
Springer DOI Link 0512
BibRef

Bahadori, S., Iocchi, L., Nardi, D., Settembre, G.P.,
Stereo vision based human body detection from a localized mobile robot,
AVSBS05(499-504).
IEEE DOI Link 0602
BibRef

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
BibRef

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
BibRef

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
BibRef

Dalal, N.[Navneet], Triggs, B.[Bill],
Histograms of Oriented Gradients for Human Detection,
CVPR05(I: 886-893).
IEEE DOI Link 0507
BibRef

Dalal, N.[Navneet],
INRIA Person Dataset,
Online2005
WWW Version. Dataset, Human Motion. The collected dataset for the above paper, from various sources. BibRef 0500

Andriluka, M.[Mykhaylo], Roth, S.[Stefan], Schiele, B.[Bernt],
Pictorial structures revisited: People detection and articulated pose estimation,
CVPR09(1014-1021).
IEEE DOI Link 0906
BibRef
Earlier:
People-tracking-by-detection and people-detection-by-tracking,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Wojek, C.[Christian], Schiele, B.[Bernt],
A Performance Evaluation of Single and Multi-feature People Detection,
DAGM08(xx-yy).
Springer DOI Link 0806
BibRef

Seemann, E.[Edgar], Fritz, M.[Mario], Schiele, B.[Bernt],
Towards Robust Pedestrian Detection in Crowded Image Sequences,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef

Seemann, E.[Edgar], Schiele, B.[Bernt],
Cross-Articulation Learning for Robust Detection of Pedestrians,
DAGM06(242-252).
Springer DOI Link 0610
BibRef

Liu, Z.Y.[Zong-Yi], Sarkar, S.[Sudeep],
Challenges in Segmentation of Human Forms in Outdoor Video,
PercOrg04(43).
IEEE DOI Link 0502
BibRef

Davis, J.W.[James W.], Keck, Jr., M.A.[Mark A.],
A Two-Stage Template Approach to Person Detection in Thermal Imagery,
WACV05(I: 364-369).
WWW Version. 0502
BibRef

Owechko, Y., Medasani, S.,
A Swarm-Based Volition/Attention Framework for Object Recognition,
AttenPerf05(III: 91-91).
IEEE DOI Link 0507
BibRef

Saisan, P., Medasani, S., Owechko, Y.,
Multi-View Classifier Swarms for Pedestrian Detection and Tracking,
OTCBVS05(III: 18-18).
IEEE DOI Link 0507
BibRef

Li, L.Y.[Li-Yuan], Koh, Y.T.[Ying Ting], Ge, S.S.[Shuzhi Sam], Huang, W.M.[Wei-Min],
Stereo-based human detection for mobile service robots,
ICARCV04(I: 74-79).
IEEE DOI Link 0412
BibRef

Zou, X.T.[Xiao-Tao], Bhanu, B.[Bir],
Human Activity Classification Based on Gait Energy Image and Coevolutionary Genetic Programming,
ICPR06(III: 556-559).
WWW Version. 0609
BibRef

Zou, X.T.[Xiao-Tao], Bhanu, B.,
Tracking Humans using Multi-modal Fusion,
OTCBVS05(III: 4-4).
IEEE DOI Link 0507
BibRef

Bhanu, B.[Bir], Zou, X.T.[Xiao-Tao],
Moving Humans Detection Based on Multi-Modal Sensor Fusion,
OTCBVS04(136).
HTML Version. 0502
BibRef

Kruse, F., Folster, F., Ahrholdt, M., Rohling, H., Meinecke, M.M., To, T.B.,
Target classification based on near-distance radar sensors,
IVS04(722-727).
IEEE Abstract. IEEE Top Reference. 0411
E.g. detect petestrians. BibRef

Lombardi, P., Zavidovique, B.,
A context-dependent vision system for pedestrian detection,
IVS04(578-583).
IEEE Abstract. IEEE Top Reference. 0411
BibRef
And:
Architectural design issues for bayesian contextual vision,
ICPR04(I: 753-756).
IEEE DOI Link 0409
BibRef

Shashua, A., Gdalyahu, Y., Hayun, G.,
Pedestrian detection for driving assistance systems: Single-frame classification and system level performance,
IVS04(1-6).
IEEE Abstract. IEEE Top Reference. 0411
BibRef

Dante, A., Brookes, M., Constantinides, A.G.,
Robust multi-body segmentation,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Haga, T., Sumi, K., Yagi, Y.,
Human detection in outdoor scene using spatio-temporal motion analysis,
ICPR04(IV: 331-334).
IEEE DOI Link 0409
BibRef

Mikolajczyk, K.[Krystian], Schmid, C.[Cordelia], Zisserman, A.[Andrew],
Human Detection Based on a Probabilistic Assembly of Robust Part Detectors,
ECCV04(Vol I: 69-82).
WWW Version. 0405
BibRef

Ronfard, R., Schmid, C., Triggs, B.,
Learning to Parse Pictures of People,
ECCV02(IV: 700 ff.).
HTML Version. 0205
BibRef

Liang, K.M., Scott, S.D., and Waqas, M.,
Detecting Pornographic Images,
ACCV04(497-502). BibRef 0400

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. IEEE Top Reference. 0312
BibRef

Ballerini, L.[Lucia],
Multiple Genetic Snakes for People Segmentation in Video Sequences,
SCIA03(275-282).
WWW Version. 0310
BibRef

Lee, L., Dalley, G., Tieu, K.,
Learning pedestrian models for silhouette refinement,
ICCV03(663-670).
IEEE DOI Link 0311
BibRef

Leo, M., Spagnolo, P., Attolico, G., Distante, A.,
Shape Based People Detection for Visual Surveillance Systems,
AVBPA03(285-293).
HTML Version. 0310
BibRef

Lefee, D., Mousset, S., Bertozzi, M., Bensrhair, A.,
Cooperation of passive vision systems in detection and tracking of pedestrians,
IVS04(768-773).
IEEE Abstract. IEEE Top Reference. 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,

IEEE DOI Link 0211
BibRef

Vendrig, J.[Jeroen], Worring, M.[Marcel],
Multimodal Person Identification in Movies,
CIVR02(175-185).
HTML Version. 0208
BibRef

Utsumi, A., Tetsutani, N.,
Human detection using geometrical pixel value structures,
AFGR02(34-39).
IEEE DOI Link 0206
BibRef

Ozer, I.B., Wolf, W.,
Human Detection in Compressed Domain,
ICIP01(III: 274-277).
IEEE Abstract. IEEE Top Reference. 0108
BibRef

Ozer, I.B., Wolf, W.,
Real-time posture and activity recognition,
Motion02(133-138).
IEEE Abstract. IEEE Top Reference. 0303
BibRef

Stauffer, C.[Chris], Antone, M.,
Translation Templates for Object Matching Across Predictable Pose Variation,
BMVC06(III:219).
PDF Version. 0609
BibRef

Stauffer, C., Grimson, W.E.L.,
Similarity Templates for Detection and Recognition,
CVPR01(I:221-228).
IEEE Abstract. IEEE Top Reference. 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
HTML Version. 0009
BibRef

Heisele, B.[Bernd], Wöhler, C.[Christian],
Motion-Based Recognition of Pedestrians,
ICPR98(Vol II: 1325-1330).
IEEE DOI Link 9808
BibRef

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
HTML Version. 0009
BibRef

Lee, M.S.[Mi-Suen],
Detecting People in Cluttered Indoor Scenes,
CVPR00(I: 804-809).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005
BibRef

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

Remagnino, P., Baumberg, A.M., Grove, T., Hogg, D.C., Tan, T.N., Worrall, A.D., Baker, K.D.,
An Integrated Traffic and Pedestrian Model-Based Vision System,
BMVC97(xx-yy).
HTML Version. 0209
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
BibRef

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
BibRef

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
Counting People, Transportation System Monitoring, Queues, Crosswalks .