Real-time multiple objects tracking with occlusion handling in dynamic scenes

Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005

Volumn I, Issue , 2005, Pages 970-975

  Yang, Tao ^a   Li, Stan Z ^b   Pan, Quan ^a   Li, Jing ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE QUALITY; IMAGE SEGMENTATION; MOTION PICTURES; REAL TIME SYSTEMS; TRACKING (POSITION);

DYNAMIC SCENES; FRAME RATE; MULTIPLE OBJECTS TRACKING; OCCLUSION HANDLING;

OBJECT RECOGNITION;

EID: 33744961572     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/cvpr.2005.292     Document Type: Conference Paper

References (23)

1. A. Amer, E. Dubois, and A. Mitiche, Real-time system for high-level video representation: application to video surveillance, in Proc. SPIE Int. Symposium on Electronic Imaging, Conf. on Visual Communication and Image Processing (VCIP), Santa Clara, USA, vol. 5022, pp. 530-541, Jan. 2003.
2. Collins et al. A System for Video Surveillance and Monitoring.VSAM Final Report, Technical report CMU-R1-TR00-12, Carnegie Mellon University, May, 2000.
3. I.Haritaoglu, D.Harwood, and L.S.Davis, W4: real-time surveillance of people and their activities. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol: 22 , Issue: 8 , pp.809-830,Aug. 2000.
4. Fengjun Lv, Jinman Kang, Ram Nevatia, Isaac Cohen, and Gérard Medioni, Automatic Tracking and Labeling of Human Activities in a Video Sequence, Proceedings of the 6th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS04), Prague, Czech Republic, May, 2004.
5. C. Stauffer and W. Grimson , Learning Patterns of Activity Using Real Time Tracking. IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 8, pages 747-767, Aug. 2000.
6. Dockstader et al, Multiple camera tracking of interacting and occluded human motion, Proceedings of the IEEE , Vol: 89 , Issue: 10,pp.l441-1455, Oct. 2001.
7. Ting-Hsun Chang, Shaogang Gong, and Eng-Jong, Tracking multiple people under occlusion using multiple cameras. In Proc.l 1th British Machine Vision Conference, 2000.
8. S.L. Dockstader and A.M. Tekalp, Multiple camera fusion for multi-object tracking. In Proc. IEEE Workshop on Multi-Object Tracking, 2001. pp. 95-102.
9. R.Cucchiara, C.Grana, G.Tardini, R.Vezzani, Probabilistic people tracking for occlusion handling, Proceedings of the 17th International Conference on ICPR 2004, Vol:l, pp. 132 - 135 Aug. 23-26, 2004.
10. How-Lung Eng, et al. A bayesian framework for robust human detection and occlusion handling using human shape model. Proceedings of the 17th International Conference on ICPR 2004, Vol: 2 , pp. 257-260, August 23-26, 2004.
11. Ying Wu, Ting Yu, Gang Hua, Tracking appearances with occlusions. Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Vol: 1, pp. 789-795, June 2003.
12. A. Senior, et al. Appearance Models for Occlusion Handling. Proc. 2nd IEEE Int. Workshop on PETS, Kauai,Hawaii,USA, December 9,2001.
13. A. Senior, Tracking with Probabilistic Appearance Models, Proc. ECCV workshop on Performance Evaluation of Tracking and Surveillance Systems, pp. 48-55, 1 June 2002.
14. th European Conf. on Computer Vision, Denmark, Vol.IV, pp. 373-387, May 2002.
15. Hieu T. Nguyen and Arnold W.M, Smeulders, Fast Occluded Object Tracking by a Robust Appearance Filter, IEEE Transactions on Pattern Analysis and Machine Inte/ligence.Vol.26, No.8, pp. 1099-1104, August 2004.
16. A. Yilmaz and M. Shah, Contour-Based Object Tracking with Occlusion Handling in Video Acquired Using Mobile Cameras. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 11, November, 2004.
17. H. Tao, H. S. Sawhney, and R. Kumar, Dynamic Layer Representation with Applications to Tracking. Proc.Computer Vision and Pattern Recognition, Vol.2, pp. 134-141,2000.
18. M. Isard and A. Blake, CONDENSATION - Conditional Density Propagation for Visual Tracking, International Journal on Computer Vision 1(29), 1998.
19. M. Isard and A. Blake, Contour Tracking by Stochastic Propagation of Conditional Density, In ECCV '96, pp. 34335,1996.
20. A. Doucet, N. Freitas, N. Gordon, Sequential Monte Carlo Methods in Practice, Springer. 2001.
21. R. Resales and S. Sclaroff, Improved Tracking of Multiple Humans with Trajectory Prediction and Occlusion Modeling, Proc.IEEE Conf. on Computer Vision and Pattern Recognition. Workshop on the Interpretation of Visual Motion, Santa Barbara,CA,1998.
22. P. KawTraKulPong , R. Bowden, An improved adaptive background mixture model for real-time tracking with shadow detection, In Second European Workshop on Advanced Videobased Surveillance Systems,2001.
23. http://homepages.inf.ed.ac.uk/rbf/CAVIAR/. 2004.