People detection and tracking using the Explorative Particle Filtering

2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops 2009

Volumn , Issue , 2009, Pages 1298-1305

  Saboune, Jamal ^a   Laganiere, Robert ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

3D MODELS; 3D TRACKING; HUMAN ACTIVITIES; HUMAN UPPER BODY; IMPROVE-A; LIKELIHOOD FUNCTIONS; MULTIPLE OBJECTS; PARTICLE FILTERING; PEOPLE DETECTION; SYSTEM'S PERFORMANCE; VIDEO SURVEILLANCE; VIDEO SURVEILLANCE SYSTEMS;

COMPUTER VISION; NONLINEAR FILTERING; SECURITY SYSTEMS; THREE DIMENSIONAL; TRACKING (POSITION);

TARGET TRACKING;

EID: 77953193379     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2009.5457459     Document Type: Conference Paper

References (29)

1. The CAVIAR Test Case Scenarios: http://homepages.inf.ed.ac.uk/rbf/ CAVIARDATA1/.
2. R. Cucchiara, C. Grana, M. Piccardi, A. Prati, and S. Sirotti. Improving shadow suppression in moving object detection with hsv color information. In Proceedings of the Intelligent Transportation Systems Conference, pages 334-339, 2001.
3. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, volume 2, pages 886-893, 2005.
4. D. Gavrila. Pedestrian detection from a moving vehicle. In Proceedings of the 6th European Conference on Computer Vision, volume 2, pages 37-49, 2000.
5. I. Haritaoglu, D. Harwood, and L. S. Davis. W4shydra: Multiple people detection and tracking using silhouettes. In Proceedings of the International Conference on Image Analysis and Processing (ICIAP), pages 280-285, 1999.
6. T. Huang and S. Russell. Object identification: A bayesian analysis with application to traffic surveillance. Artificial Intelligence Journal, 103(1-2):77-93, 1998.
7. M. Isard and A. Blake. Condensation: conditional density propagation for visual tracking. International Journal of Computer Vision, 29(1):5-28, 1998.
8. M. Isard and J. MacCormick. Bramble: A bayesian multiple-blob tracker. In Proceedings of the eighth International Conference on Computer Vision, pages 34-41, 2001.
9. E. Koller-Meier and F. Ade. Tracking multiple objects using the condensation algorithm. Journal of Robotics and Autonomous Systems, 34 (23):93105, 2001.
10. J. Krumm, S. Harris, B. Meyers, B. Brumitt, M. Hale, and S. Shafer. Multi-camera multi-person tracking for easyliving. In Proceedings of the 3rd IEEE Workshop on Visual Surveillance, pages 3-10, 2000.
11. R. Lienhart and J. Maydt. An extended set of haar-like features for rapid object detection. In Proceedings of the IEEE International Conference on Image Processing 2002, pages 900-903, 2002.
12. X. Liu, P. H. Tu, J. Rittscher, A. G. A. Perera, and N. Krahnstoever. Detecting and counting people in surveillance applications. In Proceedings International Conference on Advanced Video and Signal-based Surveillance AVVS05, pages 306-311, 2005.
13. W. Lu, K. Okuma, and J. Little. Tracking and recognizing of multiple hockey players using the boosted particle filter. Image and Vision Computing, 27(1-2):189-205, 2009.
14. J. MacCormick and A. Blake. A probabilistic exclusion principle for tracking multiple objects. In Proceedings of the Seventh International Conference on Computer Vision, pages 572-587, 1999.
15. A. N. Marana, S. A. Velastin, L. F. Costa, and R. A. Lotufo. Automatic estimation of crowd density using texture. Journal of Safety Science, 28(3):165-175, 1998. (Pubitemid 28277335)
16. S. J. Mckenna, Y. Raja, and S. Gong. Tracking color objects using adaptive mixture models. Image and Vision Computing Journal, pages 223-229, 1999.
17. A. Mittal and L. Davis. M2 tracker: A multi-view approach to segmenting and tracking people in a cluttered scene. International Journal of Computer Vision, 51(3):189203, 2003.
18. C. Nakajima, M. Pontil, B. Heisele, and T. Poggio. People recognition in image sequences by supervised learning. Technical report, MIT AI Memo, 2000.
19. S. Rao, N. C. Pramod, and C. Paturu. People detection in image and video data. In Proceeding of the 1st ACM workshop on Vision networks for behavior analysis, pages 85-92, 2008.
20. J. Saboune and F. Charpillet. Markerless human motion tracking from a single camera using interval particle filtering. International Journal on Arti.cial Intelligence Tools, 16(4):593-609, 2007.
21. H. Tsutsui, J. Miura, and Y. Shirai. Optical flow-based person tracking by multiple camera. In Proceedings of the International Conference on Multisensor Fusion and Integration for Intelligent Systems, pages 91-96, 2001.
22. T. Tung and T. Matsuyama. Human motion tracking using a color-based particle filter driven by optical flow. In ECCV workshop on Machine Learning for Vision-based Motion Analysis ECCV'08, 2008.
23. P. Viola and M. Jones. Robust real-time face detection. International Journal of Computer Vision, 57(2):1573-11405, 2004.
24. P. Viola, M. Jones, and D. Snow. Detecting pedestrians using patterns of motion and appearance. In Proceedings of the International Conference on Computer Vision ICCV2003, pages 734-741, 2003.
25. C. Wen, A. Azarbayejani, T. Darrell, and A. Pentland. Pfinder: real time tracking of human body. IEEE Transactions on PAMI, 19(7):780-785, 1997.
26. B. Wu and R. Nevatia. Detection of multiple, partially occluded humans in a single image by bayesian combination of edgelet part detectors. In Proceedings of the International Conference on Computer Vision ICCV2005, pages 90-97, 2005.
27. J. Xu, G. Ye, G. Herman, and B. Zhang. An efficient approach to detecting pedestrians in video. In Proceedings of the ACM Multimedia Conference 2008, pages 789-792, 2008.
28. Z. Zeng and S. Ma. Head tracking by active particle filtering. In Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition, pages 82-87, 2002.
29. T. Zhao and R. Nevatia. Tracking multiple humans in crowded environment. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition CVPR 2004, pages 1208-1221, 2004.