16.7.2 Vehicle Motion Understanding and Analysis

Chapter Contents (Back)

16.7.2.1 Vehicle Recognition, Car Recognition, Vehicle Detection, Counting

Chapter Contents (Back)
Vehicle Recognition. Vehicle Detection. See also Obstacle Dectection, Other Vehicles, Objects on the Road. For Aerial images: See also ATR -- Vehicles, Aerial Images, Vehicle Detection.

MIT Car Database MITC,
Online2000
HTML Version. Dataset, Vehicles. BibRef 0001

Tanaka, R.[Ryohei], Kitamura, A.[Akinobu], Odake, T.[Takaaki], Kato, Y.[Yutaka],
Optical vehicle detection system,
US_Patent4,433,325, 02/21/1984.
HTML Version. In a selected lane. BibRef 8402

Fujioka, A.[Arisa], Kageyama, S.[Satoshi],
Method for measuring the maximum gross weight of a motor vehicle,
US_Patent4,813,004, 03/14/1989
HTML Version. Measure the wheel diameter and compute. BibRef 8903

Michalopoulos, P.G.[Panos G.], Fundakowski, R.A.[Richard A.], Geokezas, M.[Meletios], Fitch, R.C.[Robert C.],
Vehicle detection through image processing for traffic surveillance and control,
US_Patent4,847,772, 07/11/1989.
HTML Version. Monitor section of road. BibRef 8907

Leung, M.K.[Mun K.], Huang, T.S.[Thomas S.],
Detecting the wheel pattern of a vehicle using stereo images,
PR(24), No. 12, 1991, pp. 1139-1151.
WWW Version. 0401
BibRef
Earlier:
Detecting wheels of vehicle in stereo images,
ICPR90(I: 263-267).
IEEE DOI Link 9006
Calculate the parameters of the plane containing wheels of the vehicle. Then transform any elliptical wheels contained in the plane to circular ones which can be extracted by the circle extraction algorithm. BibRef

Bottesch, H.W.[H. Werner], Freas, D.A.[David A.],
Passive vehicle presence detection system,
US_Patent5,166,681, 07/30/1990.
HTML Version. Simple detector of something there. BibRef 9007

Tan, T.N., Sullivan, G.D., Baker, K.D.,
Recognizing Objects on the Ground-Plane,
IVC(12), No. 3, April 1994, pp. 164-172.
WWW Version. BibRef 9404
Earlier:
Recognising Objects on the Ground Plane,
BMVC93(xx).
PDF Version. Reading Univ. See also 3D Structure and Motion Estimation from 2D Image Sequences. BibRef

Tan, T.N., Baker, K.D., Sullivan, G.D.,
Structure from Motion Using Ground Plane Constraint,
ECCV92(277-281).
Springer DOI Link BibRef 9200

Tan, T.N., Sullivan, G.D., Baker, K.D.,
Closed-Form Algorithms for Object Pose and Scale Recovery in Constrained Scenes,
PR(29), No. 3, March 1996, pp. 449-461.
WWW Version. BibRef 9603

Tan, T.N., Baker, K.D., Sullivan, G.D.,
Model-Independent Recovery of Object Orientations,
RA(13), No. 4, August 1997, pp. 602-606. 9708
BibRef

Tan, T.N., Sullivan, G.D., Baker, K.D.,
On Computing the Perspective Transformation Matrix and Camera Parameters,
BMVC93(125-134).
PDF Version. BibRef 9300

Du, L., Sullivan, G.D., Baker, K.D.,
3D Grouping by Viewpoint Consistency Ascent,
IVC(10), No. 5, June 1992, pp. 301-307.
WWW Version. BibRef 9206
Earlier: BMVC91(xx-yy).
PDF Version. 9109
BibRef
And:
Quantitative Analysis of the Viewpoint Consistency Constraint in Model-Based Vision,
ICCV93(632-639).
IEEE DOI Link Match line models to the image. BibRef

Du, L., Sullivan, G.D., Baker, K.D.,
Modelling Data Complexity for Model-based Vision,
BMVC92(xx-yy).
PDF Version. 9209
BibRef

Du, L., Sullivan, G.D., Baker, K.D.,
On Evidence Assessment for Model-based Recognition,
BMVC92(xx-yy).
PDF Version. 9209
BibRef

Zhang, Z., Du, L., Sullivan, G.D., Baker, K.D.,
Model based 3D grouping by using 2D cues,
BMVC90(xx-yy).
PDF Version. 9009
BibRef

Marslin, R.F., Sullivan, G.D., Baker, K.D.,
Kalman Filters in Constrained Model Based Tracking,
BMVC91(xx-yy).
PDF Version. 9109
BibRef

Worrall, A.D., Marslin, R.F., Sullivan, G.D., and Baker, K.D.,
Model-based Tracking,
BMVC91(xx).
PDF Version. BibRef 9100

Sullivan, G.D., Baker, K.D., Worrall, A.D., Attwood, C.I., Remagnino, P.M.,
Model-based Vehicle Detection and Classification using Orthographic Approximations,
IVC(15), No. 8, August 1997, pp. 649-654.
WWW Version. 9708
BibRef
Earlier: BMVC96(Applications). 9608
University of Reading BibRef

Worrall, A.D., Sullivan, G.D., Baker, K.D.,
Advances in Model Based Traffic Vision,
BMVC93(559-569).
PDF Version. (Reading Univ) BibRef 9300

Tan, T.N., Sullivan, G.D., Baker, K.D.,
Model-Based Localization and Recognition of Road Vehicles,
IJCV(27), No. 1, March 1998, pp. 5-25.
DOI Link 9805
Vehicle Tracking. BibRef

Zhang, Z.X.[Zhao-Xiang], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu], Wang, Y.H.[Yun-Hong],
3D Model Based Vehicle Tracking Using Gradient Based Fitness Evaluation under Particle Filter Framework,
ICPR10(1771-1774).
IEEE DOI Link 1008
BibRef

Zhang, Z.X.[Zhao-Xiang], Tan, T.N.[Tie-Niu], Huang, K.Q.[Kai-Qi], Wang, Y.H.[Yun-Hong],
Three-Dimensional Deformable-Model-Based Localization and Recognition of Road Vehicles,
IP(21), No. 1, January 2012, pp. 1-13.
IEEE DOI Link 1112
BibRef

Zhang, Z.X.[Zhao-Xiang], Dong, W.S.[Wei-Shan], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
EDA Approach for Model Based Localization and Recognition of Vehicles,
VS07(1-8).
IEEE DOI Link 0706
BibRef

Tan, T.N.,
Locating and Recognizing Road Vehicles,
OptEng(37), No. 1, January 1998, pp. 202-207. 9802
BibRef

Tan, T.N., Baker, K.D.,
Efficient Image Gradient Based Vehicle Localization,
IP(9), No. 8, August 2000, pp. 1343-1356.
IEEE DOI Link 0008
BibRef

Tan, T.N., Sullivan, G.D., Baker, K.D.,
Efficient Image Gradient-Based Object Localization and Recognition,
CVPR96(397-402).
IEEE DOI Link Image gradients for vehicle models. BibRef 9600

Tan, T.N., Sullivan, G.D., Baker, K.D.,
Pose Determination and Recognition of Vehicles in Traffic Scenes,
ECCV94(A:501-506).
Springer DOI Link BibRef 9400

Tan, T.N., Sullivan, G.D., Baker, K.D.,
Linear Algorithms for Object Pose Estimation,
BMVC92(600-609).
PDF Version. BibRef 9200

Tan, T.N., Sullivan, G.D., Baker, K.D.,
Fast Algorithms for Object Orientation Determination,
SPIE(2488), 1995, pp. 263-273. BibRef 9500

Tan, T.N., Sullivan, G.D., Baker, K.D.,
Fast Vehicle Localization and Recognition without Line Extraction and Matching,
BMVC94(95-104).
PDF Version. 9409
(Discrepancy in page number.) BibRef

Maybank, S.J., Worrall, A.D., Sullivan, G.D.,
Filter for Car Tracking Based on Acceleration and Steering Angle,
BMVC96(Poster Session 2). 9608
BibRef
And:
A Filter for Visual Tracking Based on a Stochastic Model for Driver Behaviour,
ECCV96(II:540-549).
Springer DOI Link University of Reading BibRef

Maybank, S.J.,
Filter based estimates of depth,
BMVC90(xx-yy).
PDF Version. 9009
BibRef

Sullivan, G.D., Worrall, A.D., Ferryman, J.M.,
Visual Object Recognition Using Deformable Models of Vehicles,
Context95(xx) BibRef 9500

Charkari, N.M., Mori, H.,
Visual Vehicle Detection and Tracking Based on the Sign Pattern,
AdvRob(9), No. 4, 1995, pp. 367-382. BibRef 9500

Dubuisson-Jolly, M.P.[Marie-Pierre], Lakshmanan, S., Jain, A.K.,
Vehicle Segmentation and Classification Using Deformable Templates,
PAMI(18), No. 3, March 1996, pp. 293-308.
IEEE DOI Link Tracking. Given a simple polygonal model of the vehicle, find and track it. BibRef 9603

Dubuisson-Jolly, M.P.[Marie-Pierre], Lakshmanan, S., Jain, A.K.,
Vehicle Segmentation Using Deformable Templates,
SCV95(581-586).
IEEE Top Reference. Siemens Corporate Research. U. of Michigan Dearbon. Michigan State University.. BibRef 9500

Alves, J.F.[James F.], Cacnio, G.R.[Gerry R.], Stevens, D.R.[David R.],
Video image processor and method for detecting vehicles,
US_Patent5,535,314, Jul 9, 1996
WWW Version. BibRef 9607

Mantri, S., Bullock, D., Garrett, J.,
Vehicle Detection Using a Hardware-Implemented Neural-Net,
IEEE_Expert(12), No. 1, January/February 1997, pp. 15-21. 9703
BibRef

Kitamura, T.[Tadaaki], Kobayashi, Y.[Yoshiki], Nakanishi, K.[Kunio], Yahiro, M.[Masakazu], Satoh, Y.[Yoshiyuki], Shibata, T.[Toshiro], Horie, T.[Takeshi], Yamamoto, K.[Katsuyuki], Takatou, M.[Masao], Inoue, H.[Haruki], Asada, K.[Kazuyoshi],
Object recognition system and abnormality detection system using image processing,
US_Patent5,757,287, May 26, 1998.
HTML Version. BibRef 9805
Earlier: US_Patent5,554,983, September 10, 1996.
HTML Version. Use templates to find the parts of the vehicle. BibRef

Takatou, M.[Masao], Takahashi, K.[Kazunori], Hamada, N.[Nobuhiro], Kitamura, T.[Tadaaki], Kikuchi, K.[Kuniyuki], Takenaga, H.[Hiroshi], Morooka, Y.[Yasuo],
Traffic flow measuring method and apparatus,
US_Patent5,283,573, February 1, 1994,
HTML Version. BibRef 9402

Takatou, M., Onuma, C., Kobayashi, Y.,
Detection of Objects Including Persons Using Image Processing,
ICPR96(III: 466-472).
IEEE DOI Link 9608
(Hitachi Res. Laboratory, J) BibRef

Lai, A.H.S., Yung, N.H.C.,
Vehicle-Type Identification Through Automated Virtual Loop Assignment and Block-Based Direction-Biased Motion Estimation,
ITS(1), No. 2, June 2000, pp. 86-97.
IEEE Abstract. BibRef 0006

Ellis, R.D., Meitzler, T.J., Witus, G., Sohn, E., Bryk, D., Goetz, R., Gerhart, G.R.,
Computational Modeling of Age-Differences in a Visually Demanding Driving Task: Vehicle Detection,
SMC-A(30), No. 3, May 2000, pp. 336-346.
IEEE Top Reference. 0006
Evaluation, Vehicle Detection. Human performance. BibRef

Kagesawa, M., Ueno, S., Ikeuchi, K., Kashiwagi, H.,
Recognizing vehicles in infrared images using IMAP parallel vision board,
ITS(2), No. 1, March 2001, pp. 10-17.
IEEE Abstract. 0402
BibRef

Gupte, S., Masoud, O.T., Martin, R.F.K., Papanikolopoulos, N.P.,
Detection and classification of vehicles,
ITS(3), No. 1, March 2002, pp. 37-47.
IEEE Abstract. 0402
BibRef

Li, X.B.[Xiao-Bo], Liu, Z.Q.A.[Zhi-Qi-Ang], Leung, K.M.[Ka-Ming],
Detection of vehicles from traffic scenes using fuzzy integrals,
PR(35), No. 4, April 2002, pp. 967-980.
WWW Version. 0201
BibRef

Setchell, C., Dagless, E.L.,
Vision-based road-traffic monitoring sensor,
VISP(148), No. 1, February 2001, pp. 78-84. 0105
BibRef

Bedenas, J., Boder, M., Pla, F.,
Segmenting Traffic Scenes from Grey Level and Motion Information,
PAA(4), No. 1, 2001, pp. 28-38.
HTML Version. 0105
BibRef

Kato, J.[Jien], Watanabe, T.[Toyohide], Joga, S.[Sébastien], Rittscher, J.[Jens], Blake, A.[Andrew],
An HMM-Based Segmentation Method for Traffic Monitoring Movies,
PAMI(24), No. 9, September 2002, pp. 1291-1296.
IEEE Abstract. 0209
Deal with shadows of moving ogjects. Classify each region as shadow, background, foreground. BibRef

Cheng, H.H., Shaw, B.D., Palen, J., Lin, B., Chen, B., Wang, Z.,
Development and Field Test of a Laser-Based Nonintrusive Detection System for Identification of Vehicles on the Highway,
ITS(6), No. 2, June 2005, pp. 147-155.
IEEE Abstract. 0506
BibRef

Zhang, W.[Wei], Fang, X.Z.[Xiang Zhong], Yang, X.K.[Xiao-Kang],
Moving vehicles segmentation based on Bayesian framework for Gaussian motion model,
PRL(27), No. 9, July 2006, pp. 956-967.
WWW Version. Vehicles detection 0605
BibRef

Howard, D.[Daniel], Roberts, S.C.[Simon C.], Ryan, C.[Conor],
Pragmatic Genetic Programming strategy for the problem of vehicle detection in airborne reconnaissance,
PRL(27), No. 11, August 2006, pp. 1275-1288.
WWW Version. Genetic Programming; Method of stages; Discrete Fourier transform 0606
BibRef

Stojmenovic, M.[Milos],
Real Time Machine Learning Based Car Detection in Images With Fast Training,
MVA(17), No. 3, August 2006, pp. 163-172.
Springer DOI Link 0606
BibRef

Toulminet, G., Bertozzi, M., Mousset, S., Bensrhair, A., Broggi, A.,
Vehicle Detection by Means of Stereo Vision-Based Obstacles Features Extraction and Monocular Pattern Analysis,
IP(15), No. 8, August 2006, pp. 2364-2375.
IEEE DOI Link 0606
See also Pedestrian localization and tracking system with Kalman filtering. BibRef

Tsai, L.W., Hsieh, J.W.[Jun-Wei], Fan, K.C.,
Vehicle Detection Using Normalized Color and Edge Map,
IP(16), No. 3, March 2007, pp. 850-864.
IEEE DOI Link 0703
BibRef

Urazghildiiev, I., Ragnarsson, R., Ridderstrom, P., Rydberg, A., Ojefors, E., Wallin, K., Enochsson, P., Ericson, M., Lofqvist, G.,
Vehicle Classification Based on the Radar Measurement of Height Profiles,
ITS(8), No. 2, April 2007, pp. 245-253.
IEEE DOI Link 0706
BibRef

Kirkendall, B., Li, Y., Oldenburg, D.,
Imaging Cargo Containers Using Gravity Gradiometry,
GeoRS(45), No. 6, June 2007, pp. 1786-1797.
IEEE DOI Link 0706
BibRef

Lam, W.W.L., Pang, C.C.C., Yung, N.H.C.,
Vehicle-Component Identification Based on Multiscale Textural Couriers,
ITS(8), No. 4, December 2007, pp. 681-694.
IEEE DOI Link 0712
BibRef
Earlier:
Multi-scale space vehicle component identification,
ICIP04(II: 925-928).
IEEE DOI Link 0505
BibRef

Wang, C.C.R.[Chi-Chen Raxle], Lien, J.J.J.[Jenn-Jier James],
Automatic Vehicle Detection Using Local Features: A Statistical Approach,
ITS(9), No. 1, March 2008, pp. 83-96.
IEEE DOI Link 0803
BibRef
Earlier:
Automatic Vehicle Detection Using Statistical Approach,
ACCV06(II:171-182).
Springer DOI Link 0601
BibRef

Pang, C.C.C.[Clement Chun Cheong], Tan, Z.G.[Zhi-Gang], Yung, N.H.C.[Nelson Hon Ching],
A methodology for resolving severely occluded vehicles based on component-based multi-resolution relational graph matching,
ICMV07(141-146).
IEEE DOI Link 0712
BibRef

Grabner, H.[Helmut], Nguyen, T.T.[Thuy Thi], Gruber, B.[Barbara], Bischof, H.[Horst],
On-line boosting-based car detection from aerial images,
PandRS(63), No. 3, May 2008, pp. 382-396.
WWW Version. 0711
Award, Best Paper, ISPRS. Vehicle Detection. Car detection; Aerial image; Adaboost; On-line learning; Pattern recognition; UltraCamD BibRef

Grabner, H.[Helmut], Sochman, J.[Jan], Bischof, H.[Horst], Matas, J.G.[Jiri G.],
Training sequential on-line boosting classifier for visual tracking,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Grabner, M.[Michael], Zach, C.[Christopher], Bischof, H.[Horst],
Efficient Tracking as Linear Program on Weak Binary Classifiers,
DAGM08(xx-yy).
Springer DOI Link 0806
BibRef

Grabner, M.[Michael], Grabner, H.[Helmut], Bischof, H.[Horst],
Learning Features for Tracking,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef
Earlier: A2, A1, A3:
Real-Time Tracking via On-line Boosting,
BMVC06(I:47).
PDF Version. 0609
See also Conservative Visual Learning for Object Detection with Minimal Hand Labeling Effort. See also On robustness of on-line boosting: a competitive study. BibRef

Grabner, H.[Helmut], Roth, P.M.[Peter M.], Bischof, H.[Horst],
Eigenboosting: Combining Discriminative and Generative Information,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef
Earlier: A1, A3, Only:
On-line Boosting and Vision,
CVPR06(I: 260-267).
IEEE DOI Link 0606
AdaBoost feature selection method. BibRef

Santner, J.[Jakob], Leistner, C.[Christian], Saffari, A.[Amir], Pock, T.[Thomas], Bischof, H.[Horst],
PROST: Parallel robust online simple tracking,
CVPR10(723-730).
IEEE DOI Link 1006
BibRef

Leistner, C.[Christian], Godec, M.[Martin], Schulter, S.[Samuel], Saffari, A.[Amir], Werlberger, M.[Manuel], Bischof, H.[Horst],
Improving classifiers with unlabeled weakly-related videos,
CVPR11(2753-2760).
IEEE DOI Link 1106
BibRef

Saffari, A.[Amir], Leistner, C.[Christian], Godec, M.[Martin], Bischof, H.[Horst],
Robust Multi-View Boosting with Priors,
ECCV10(III: 776-789).
Springer DOI Link 1009
BibRef

Saffari, A.[Amir], Godec, M.[Martin], Pock, T.[Thomas], Leistner, C.[Christian], Bischof, H.[Horst],
Online multi-class LPBoost,
CVPR10(3570-3577).
IEEE DOI Link 1006
See also On robustness of on-line boosting: a competitive study. See also On-Line Multi-view Forests for Tracking. BibRef

Godec, M.[Martin], Sternig, S.[Sabine], Roth, P.M.[Peter M.], Bischof, H.[Horst],
Context-driven clustering by multi-class classification in an active learning framework,
UCVP10(19-24).
IEEE DOI Link 1006
BibRef

Saffari, A.[Amir], Leistner, C.[Christian], Bischof, H.[Horst],
Regularized multi-class semi-supervised boosting,
CVPR09(967-974).
IEEE DOI Link 0906
BibRef

Grabner, H.[Helmut], Leistner, C.[Christian], Bischof, H.[Horst],
Semi-supervised On-Line Boosting for Robust Tracking,
ECCV08(I: 234-247).
Springer DOI Link 0810
BibRef
Earlier: A2, A1, A3:
Semi-supervised boosting using visual similarity learning,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Leistner, C., Roth, P.M., Grabner, H., Bischof, H., Starzacher, A., Rinner, B.,
Visual on-line learning in distributed camera networks,
ICDSC08(1-10).
IEEE DOI Link 0809
BibRef

Arth, C.[Clemens], Leistner, C.[Christian], Bischof, H.[Horst],
Object Reacquisition and Tracking in Large-Scale Smart Camera Networks,
ICDSC07(156-163).
IEEE DOI Link 0709
BibRef
Earlier: A1, A3, A2:
TRICam: An Embedded Platform for Remote Traffic Surveillance,
EmbedCV06(125).
IEEE DOI Link 0609
BibRef

Saffari, A.[Amir], Grabner, H.[Helmut], Bischof, H.[Horst],
SERBoost: Semi-supervised Boosting with Expectation Regularization,
ECCV08(III: 588-601).
Springer DOI Link 0810
BibRef

Hu, S.R., Wang, C.M.,
Vehicle Detector Deployment Strategies for the Estimation of Network Origin-Destination Demands Using Partial Link Traffic Counts,
ITS(9), No. 2, June 2008, pp. 288-300.
IEEE DOI Link 0806
BibRef

Sappa, A.D.[Angel D.], Dornaika, F.[Fadi], Ponsa, D., Gerónimo, D.[David], López, A.M.[Antonio M.],
An Efficient Approach to Onboard Stereo Vision System Pose Estimation,
ITS(9), No. 3, September 2008, pp. 476-490.
IEEE DOI Link 0809
BibRef

Ros, G.[German], Sappa, A.D.[Angel D.], Ponsa, D.[Daniel], López, A.M.[Antonio M.], Guerrero, J.[Julio],
Fast and Robust L_1-averaging-based Pose Estimation for Driving Scenarios,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Onkarappa, N.[Naveen], Sappa, A.D.[Angel D.],
A Novel Space Variant Image Representation,
JMIV(47), No. 1-2, September 2013, pp. 48-59.
WWW Version. 1307
BibRef
Earlier:
Space Variant Representations for Mobile Platform Vision Applications,
CAIP11(II: 146-154).
Springer DOI Link 1109
BibRef
And:
On-Board Monocular Vision System Pose Estimation through a Dense Optical Flow,
ICIAR10(I: 230-239).
Springer DOI Link 1006
BibRef

Sappa, A.D.[Angel D.], Gerónimo, D.[David], Dornaika, F.[Fadi], López, A.M.[Antonio M.],
Real Time Vehicle Pose Using On-Board Stereo Vision System,
ICIAR06(II: 205-216).
Springer DOI Link 0610
BibRef

Dornaika, F.[Fadi], Sappa, A.D.[Angel D.],
A featureless and stochastic approach to on-board stereo vision system pose,
IVC(27), No. 9, 3 August 2009, pp. 1382-1393.
Elsevier DOI Link 0906
BibRef
Earlier: A2, A1:
Real-Time Vehicle Ego-Motion Using Stereo Pairs and Particle Filters,
ICIAR07(469-480).
Springer DOI Link 0708
On-board stereo vision system; Pose estimation; Featureless approach; Particle filtering; Image warping BibRef

Jia, Y.Q.[Yang-Qing], Zhang, C.S.[Chang-Shui],
Front-view vehicle detection by Markov chain Monte Carlo method,
PR(42), No. 3, March 2009, pp. 313-321.
WWW Version. 0811
Vehicle detection; Bayesian method; Maximizing a posteriori; Markov chain Monte Carlo BibRef

Hu, Z.C.[Zhen-Cheng], Wang, C.H.[Chen-Hao], Uchimura, K.[Keiichi],
3D Vehicle Extraction and Tracking from Multiple Viewpoints for Traffic Monitoring by using Probability Fusion Map,
ELCVIA(7), No. 2, 2008, pp. xx-yy.
WWW Version. 0903
BibRef

Lamosa, F.[Francisco], Hu, Z.C.[Zhen-Cheng], Uchimura, K.[Keiichi],
Vehicle Detection Using Multi-level Probability Fusion Maps Generated by a Multi-camera System,
AVSBS08(10-17).
IEEE DOI Link 0809
BibRef

Zhu, Z.F.[Zhen-Feng], Lu, H.Q.[Han-Qing], Hu, J., Uchimura, K.,
Car detection based on multi-cues integration,
ICPR04(II: 699-702).
IEEE DOI Link 0409
BibRef

Ponsa, D.[Daniel], Lopez, A.M.[Antonio M.],
Variance reduction techniques in particle-based visual contour tracking,
PR(42), No. 11, November 2009, pp. 2372-2391.
Elsevier DOI Link 0907
Contour tracking; Active shape models; Kalman filter; Particle filter; Importance sampling; Unscented particle filter; Rao-Blackwellization; Partitioned sampling BibRef

Ponsa, D.[Daniel], López, A.M.[Antonio M.],
Cascade of Classifiers for Vehicle Detection,
ACIVS07(980-989).
Springer DOI Link 0708
BibRef
Earlier:
Vehicle Trajectory Estimation Based on Monocular Vision,
IbPRIA07(I: 587-594).
Springer DOI Link 0706
BibRef

Thomas, A.[Alexander], Ferrari, V.[Vittorio], Leibe, B.[Bastian], Tuytelaars, T.[Tinne], Van Gool, L.J.[Luc J.],
Shape-from-recognition: Recognition enables meta-data transfer,
CVIU(113), No. 12, Decmeber 2009, pp. 1222-1234,.
Elsevier DOI Link 0911
BibRef
Earlier:
Depth-From-Recognition: Inferring Meta-data by Cognitive Feedback,
ICCV07(1-8).
IEEE DOI Link 0710
Object recognition; Shape-from-X Infer low level cues from high level information. Given a vehicle, infer the shape. See also Robust Object Detection with Interleaved Categorization and Segmentation. BibRef

Thomas, A.[Alexander], Ferrar, V.[Vittorio], Leibe, B.[Bastian], Tuytelaars, T.[Tinne], Schiel, B.[Bernt], Van Gool, L.J.[Luc J.],
Towards Multi-View Object Class Detection,
CVPR06(II: 1589-1596).
IEEE DOI Link 0606
BibRef

Leibe, B.[Bastian], Mikolajczyk, K.[Krystian], Schiele, B.[Bernt],
Segmentation Based Multi-Cue Integration for Object Detection,
BMVC06(III:1169).
PDF Version. 0609
BibRef
And: A2, A1, A3:
Multiple Object Class Detection with a Generative Model,
CVPR06(I: 26-36).
IEEE DOI Link 0606
See also Efficient Clustering and Matching for Object Class Recognition. BibRef

Shan, Y.[Ying], Sawhney, H.S.[Harpreet S.], Kumar, R.T.[Rakesh Teddy],
Unsupervised Learning of Discriminative Edge Measures for Vehicle Matching between Non-Overlapping Cameras,
PAMI(30), No. 4, April 2008, pp. 700-711.
IEEE DOI Link 0803
BibRef
Earlier: CVPR05(I: 894-901).
IEEE DOI Link 0507
BibRef
And:
Vehicle Identification between Non-Overlapping Cameras without Direct Feature Matching,
ICCV05(I: 378-385).
IEEE DOI Link 0510
BibRef

Guo, Y.L.[Yan-Lin], Kumar, R.[Rakesh], Sawhney, H.S.[Harpreet S.],
Method and apparatus for detecting independent motion in three-dimensional scenes,
US_Patent6,353,678, Mar 5, 2002
WWW Version. BibRef 0203

Guo, Y.L.[Yan-Lin], Rao, C.[Cen], Samarasekera, S.[Supun], Kim, J.[Janet], Kumar, R.[Rakesh], Sawhney, H.S.[Harpreet S.],
Matching vehicles under large pose transformations using approximate 3D models and piecewise MRF model,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Guo, Y.L.[Yan-Lin], Shan, Y.[Ying], Sawhney, H.S.[Harpreet S.], Kumar, R.T.[Rakesh T.],
PEET: Prototype Embedding and Embedding Transition for Matching Vehicles over Disparate Viewpoints,
CVPR07(1-8).
IEEE DOI Link 0706
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Hsieh, J.W.[Jun-Wei], Chen, L.C.[Li-Chih], Chen, D.Y.[Duan-Yu],
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cameras BibRef

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Gaussian processes BibRef

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CVPR14(3678-3685)
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3D object recognition; Scene understanding BibRef

Ohn-Bar, E.[Eshed], Trivedi, M.M.[Mohan M.],
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IWMV14(179-184)
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Lin, Y.L.[Yen-Liang], Morariu, V.I.[Vlad I.], Hsu, W.[Winston], Davis, L.S.[Larry S.],
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Li, B.[Bo], Wu, T.F.[Tian-Fu], Zhu, S.C.[Song-Chun],
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ECCV14(VI: 652-667).
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Hsiao, E.[Edward], Sinha, S.N.[Sudipta N.], Ramnath, K.[Krishnan], Baker, S.[Simon], Zitnick, L.[Larry], Szeliski, R.[Richard],
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WACV14(1-1)
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And: A3, A2, A6, A1, Only: WACV14(285-292)
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Duan, K.[Kun], Marchesotti, L.[Luca], Crandall, D.J.[David J.],
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WACV14(333-338)
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Yuan, Y.[Yule], Zhao, Y.[Yong], Wang, X.[Xinan],
Day and night vehicle detection and counting in complex environment,
IVCNZ13(453-458)
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feature extraction BibRef

Kumar, U.,
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IVCNZ13(214-219)
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Haar transforms BibRef

Li, B.[Bo], Hu, W.Z.[Wen-Ze], Wu, T.F.[Tian-Fu], Zhu, S.C.[Song-Chun],
Modeling Occlusion by Discriminative AND-OR Structures,
ICCV13(2560-2567)
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AND-OR structure; CAD simulation; Car Detection; Occlusion Modeling BibRef

Rezaei, M.[Mahdi], Terauchi, M.[Mutsuhiro],
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Larnaout, D.[Dorra], Gay-Bellile, V.[Vincent], Bourgeois, S.[Steve], Dhome, M.[Michel],
Vehicle 6-DoF localization based on SLAM constrained by GPS and digital elevation model information,
ICIP13(2504-2508)
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DEM;GPS;Monocular SLAM;bundle adjustment;localization BibRef

Chen, Y.C.[Yu-Chun], Su, T.F.[Te-Feng], Lai, S.H.[Shang-Hong],
Efficient vehicle detection with adaptive scan based on perspective geometry,
ICIP13(3321-3325)
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Vehicle detection BibRef

Dong, Z.[Zhen], Jia, Y.D.[Yun-De],
Vehicle type classification using distributions of structural and appearance-based features,
ICIP13(4321-4324)
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Vehicle type classification BibRef

Ratajczak, R.[Robert], Grajek, T.[Tomasz], Wegner, K.[Krzysztof], Klimaszewski, K.[Krzysztof], Kurc, M.[Maciej], Domanski, M.[Marek],
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AVSS13(478-482)
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Gerschuni, M.[Mijail], Pardo, A.[Alvaro],
Bus Detection for Intelligent Transport Systems Using Computer Vision,
CIARP13(II:59-66).
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Wang, T.[Tao], Zhu, Z.G.[Zhi-Gang], Hammoud, R.[Riad],
Audio-Visual Feature Fusion for Vehicles Classification in a Surveillance System,
PBVS13(381-386)
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Hyun Kim, D.[Do], Kwon, J.[Jangwoo], Chen, K.[Ken], Choi, K.[Kyoungho],
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Abdel Maseeh, M.[Meena], Badreldin, I.[Islam], Abdelkader, M.F.[Mohamed F.], El Saban, M.[Motaz],
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WWW Version. 1302
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Hodlmoser, M.[Michael], Micusik, B.[Branislav], Pollefeys, M.[Marc], Liu, M.Y.[Ming-Yu], Kampel, M.[Martin],
Model-Based Vehicle Pose Estimation and Tracking in Videos Using Random Forests,
3DV13(430-437)
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Earlier: A1, A2, A4, A3, A5:
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3DIMPVT12(198-205).
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Wang, T.[Tao],
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ELCVIA(13), No. 2, 2014, pp. xx-yy.
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Wang, T.[Tao], Zhu, Z.G.[Zhi-Gang],
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Lv, Y.[Yang], Yao, B.[Benjamin], Wang, Y.T.[Yong-Tian], Zhu, S.C.[Song-Chun],
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IASP11(240-243).
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Han, D.J.[Dong-Jin], Hwang, J.[Jae], Hahn, H.S.[Hern-Soo], Cooper, D.B.[David B.],
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Jang, D.M.[Daniel Marcus], Turk, M.A.[Matthew A.],
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Larsen, S.Ø.[Siri Øyen], Salberg, A.B.[Arnt-Børre],
Vehicle Detection and Roadside Tree Shadow Removal in High Resolution Satellite Images,
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Godec, M., Leistner, C., Bischof, H., Starzacher, A., Rinner, B.,
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AVSS10(586-592).
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Vehicle Tracking, Vehicle Motion Analysis .


Last update:Nov 25, 2014 at 19:37:27