Pedestrian detection in crowded scenes

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

Volumn I, Issue , 2005, Pages 878-885

  Leibe, Bastian ^a   Seemann, Edgar ^a   Schiele, Bernt ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION; ITERATIVE METHODS; MOTION PICTURES; TRACKING (POSITION);

CROWDED SCENES; MULTIPLE ITERATIONS; PEDESTRIAN DETECTION; TRAINING SETS;

IMAGE ANALYSIS;

EID: 33744792263     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2005.272     Document Type: Conference Paper

References (24)

1. S. Agarwal and D. Roth. Learning a sparse representation for object detection. In ECCV'02. pages 113-130, 2002.
2. H.G. Barrow, J.M. Tenenbaum, R.C. Bolles, and H.C. Wolf. Parametric correspondence and chamfer matching: Two new techniques for image matching. In IJCAI'77, 1977.
3. A. Bhattacharyya. On a measure of divergence between two statistical populations defined by their probability distributions. Bull. Calcutta Math Soc., 1943.
4. E. Borenstein and S. Ullman. Class-specific, top-down segmentation. In ECCV'02. LNCS 2353. pages 109-122, 2002.
5. G. Borgetors. Hierarchical chamfer matching: A parametric edge matching algorithm. PAMI. 10(6):849-865, 1988.
6. D. Comaniciu and P. Meer. Distribution free decomposition of multivariate data. Pattern Analysis and Applications, 2(1):22-30, 1999.
7. D. Comaniciu, V. Ramesh, and P. Meer. The variable bandwidth mean shift and data-driven scale selection. In ICCV'01, 2001.
8. P. Felzenszwalb. Learning models for object recognition. In CVPR'01, 2001.
9. R. Fergus, A. Zisserman. and P. Perona. Object class recognition by unsupervised scale-invariant learning. In CVPR'03, 2003.
10. D. Gavrila. Pedestrian detection from a moving vehicle. In ECCV'00.
11. D. Gavrila. Multi-feature hierarchical template matching using distance transforms. In ICPR'98, 1998.
12. B. Leibe, A. Leonardis, and B. Schiele. Combined object categorization and segmentation with an implicit shape model. In ECCV'04 Workshop on Stat. Learn, in Comp. Vis., pages 17-32, 2004.
13. B. Leibe and B. Schiele. Interleaved object categorization and segmentation. In BMVC'03, pages 759-768, 2003.
14. B. Leibe and B. Schiele. Scale invariant object categorization using a scale-adaptive mean-shift search. In DAGM'04. Springer LNCS, Vol. 3175, pages 145-153, 2004.
15. A. Leonardis. A. Gupta. and R. Bajcsy. Segmentation of range images as the search for geometric parametric models. UCV, 14:253-277, 1995.
16. D. Lowe. Distinctive image features from scale-invariant keypoints. UCV, 60(2):91-110, 2004.
17. C. Mikolajczyk, C. Schmid, and A. Zisserman. Human detection based on a probabilistic assembly of robust part detectors. In ECCV'04, pages 69-82, 2004.
18. A. Mohan, C. Papageorgiou, and T. Poggio. Example-based object detection in images by components. Trans. PAMI, 23(4):349-361, 2001.
19. C.F. Olson and D.P. Huttenlocher. Automatic target recognition by matching oriented edge pixels. Trans. Image Proc., 6(1):103-113, 1997.
20. C. Papageorgiou and T. Poggio. A trainable system for object detection. IJCV. 38(1):15-33, 2000.
21. C. Stauffer and W.E.L. Grimson. Adaptive background mixture models for realtime tracking. In CVPR'99, 1999.
22. A. Thayananthan, B. Stenger, PH.S. Torr, and R. Cipolla. Shape context and chamfer matching in cluttered scenes. In CVPR'03, 2003.
23. P. Viola, M. Jones, and D. Snow. Detecting pedestrians using patterns of motion and appearance. In ICCV'03, 2003.
24. S.X. Yu and J. Shi. Object-specific figure-ground segregation. In CVPR '03, 2003.