Detection and tracking of multiple humans with extensive pose articulation

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2007, Pages

  Zhang, Li ^a   Wu, Bo ^a   Nevatia, Ram ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CHLORINE COMPOUNDS; COMPUTER NETWORKS; COMPUTER VISION; DECODING; FACE RECOGNITION; IMAGE PROCESSING; IMAGE RESOLUTION; WINDOWS;

INTERNATIONAL CONFERENCES; SLIDING WINDOWS;

SECURITY SYSTEMS;

EID: 50649093709     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4408940     Document Type: Conference Paper

References (21)

1. P. Sabzmeydani, and G. Mori. Detecting Pedestrians by Learning Shapelet Features. CVPR 2007.
2. O. Tuzel, F. Porikli, and P. Meer. Human Detection via Classification on Riemannian Manifolds, CVPR 2007.
3. L. Zhang, B. Wu, and R. Nevatia. Pedestrian Detection in Infrared Images based on Local Shape Features. OTCBVS Workshop, CVPR 2007.
4. L.Sigal, and M. Black. Predicting 3D People from 2D Pictures. AMDO, 2006.
5. Q. Zhu, S. Avidan, M. Yeh, and K. Cheng. Fast human detection using a cascade of Histograms of Oriented Gradients. CVPR 2006.
6. M. Lee, and R. Nevatia. Human Pose Tracking using Multilevel Structured Models. ECCV 2006. Vol III: 368-381
7. B. Wu, and R. Nevatia. Detection of Multiple, Partially Occluded Humans in a Single Image by Bayesian Combination of Edgelet Part Detectors. ICCV 2005. Vol I: 90-97
8. N. Dalal, and B. Triggs. Histograms of Oriented Gradients for Human Detection. CVPR 2005. Vol I: 886-893
9. Y. Wu and T. Yu and G. Hua. A Statistical Field Model for Pedestrian Detection. CVPR 2005. Vol I: 1023-1030
10. B. Leibe, E. Seemann, and B. Schiele. Pedestrian Detection in Crowded Scenes. CVPR 2005.
11. D. Ramanan, D. A. Forsyth, and A. Zisserman. Strike a Pose: Tracking People by Finding Stylized Poses. CVPR 2005.
12. T. Zhao and R. Nevatia. Tracking Multiple Humans in Crowded Environment. CVPR 2004.
13. C. Mikolajczyk, C. Schmid, and A. Zisserman. Human Detection Based on a Probabilistic Assembly of Robust Part Detectors. ECCV 2004. Vol I: 69-82
14. P. Viola, M. Jones, and D. Snow. Detecting Pedestrians using Patterns of Motion and Appearance. ICCV 2003.
15. A. Mohan, C. Papageorgiou, and T. Poggio. Example-based Object Detection in Images by Components. PAMI, 2001.
16. N. Jojic, and B. Frey. Learning Flexible Sprites in Video Layers. CVPR, 2001.
17. D. Gavrila. Pedestrian Detection from a Moving Vehicle. ECCV 2000.
18. J. Deutscher, A. Blake, I. Reid, Articulated Body Motion Capture by Annealed Particle Filtering. CVPR, 2000.
19. J. Tenenbaum, V. Silva, and J. Langford. A Global Geometric Framework for Nonlinear Dimensionality Reduction. Science. 22 December 2000 290: 2319-2323.
20. Y. Freund, and R. E. Schapire. Experiments with a New Boosting Algorithm. Conf. on Machine Learning, 1996.
21. Corinna Cortes, and V. Vapnik. Support-Vector Networks, Machine Learning, 1995.