New features and insights for pedestrian detection

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2010, Pages 1030-1037

  Walk, Stefan ^a   Majer, Nikodem ^a   Schindler, Konrad ^a   Schiele, Bernt ^a,b  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^b MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BRUSSELS; CALTECH; COLOR CHANNELS; DATA SETS; DETECTION PERFORMANCE; IMAGE SEQUENCE; LOW QUALITIES; MOTION FEATURES; OBJECT DETECTION; OPTIC FLOW; PEDESTRIAN DETECTION; PEOPLE DETECTION; SELF-SIMILARITIES; STATIC IMAGES; VIDEO SEQUENCES;

COMPUTER VISION; SAILING VESSELS; VIDEO RECORDING;

DETECTORS;

EID: 77956007891     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5540102     Document Type: Conference Paper

References (30)

1. M. Andriluka, S. Roth, and B. Schiele. Pictorial structures revisited: People detection and articulated pose estimation. In CVPR, 2009.
2. B. Babenko, P. Dollár, Z. Tu, and S. Belongie. Simultaneous learning and alignment: Multi-instance and multi-pose learning. In ECCV workshop on Faces in Real-Life Images, 2008.
3. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
4. N. Dalal, B. Triggs, and C. Schmid. Human detection using oriented histograms of flow and appearance. In ECCV, 2006.
5. P. Dollár, Z. Tu, P. Perona, and S. Belongie. Integral channel features. In BMVC, 2009.
6. P. Dollár, C. Wojek, B. Schiele, and P. Perona. Pedestrian detection: A benchmark. In CVPR, 2009.
7. M. Enzweiler and D. M. Gavrila. Monocular pedestrian detection: Survey and experiments. PAMI, 2009.
8. A. Ess, B. Leibe, K. Schindler, and L. van Gool. A mobile vision system for robust multi-person tracking. In CVPR, 2008.
9. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2008 (VOC2008) Results.
10. P. Felzenszwalb, D. McAllester, and D. Ramanan. A discriminatively trained, multiscale, deformable part model. In CVPR, 2008.
11. D. M. Gavrila and S. Munder. Multi-cue pedestrian detection and tracking from a moving vehicle. IJCV, 73:41-59, 2007. (Pubitemid 46181616)
12. I. N. Junejo, E. Dexter, I. Laptev, and P. Pérez. Cross-view action recognition from temporal self-similarities. In ECCV, 2008.
13. Z. Lin and L. S. Davis. A pose-invariant descriptor for human detection and segmentation. In ECCV, 2008.
14. S. Maji, A. C. Berg, and J. Malik. Classification using intersection kernel support vector machines is efficient. In CVPR, 2008.
15. P. Ott and M. Everingham. Implicit color segmentation features for pedestrian and object detection. In ICCV, 2009.
16. C. Papageorgiou and T. Poggio. A trainable system for object detection. IJCV, 38(1):15-33, 2000.
17. P. Sabzmeydani and G. Mori. Detecting pedestrians by learning shapelet features. In CVPR, 2007.
18. W. Schwartz, A. Kembhavi, D. Harwood, and L. Davis. Human detection using partial least squares analysis. In ICCV, 2009.
19. A. Shashua, Y. Gdalyahu, and G. Hayun. Pedestrian detection for driving assistance systems: Single-frame classification and system level performance. In IVS, 2004.
20. E. Shechtman and M. Irani. Matching local self-similarities across images and videos. In CVPR, 2007.
21. C. Stauffer and W. E. L. Grimson. Similarity templates for detection and recognition. In CVPR, 2001.
22. K. E. A. van de Sande, T. Gevers, and C. G. M. Snoek. Evaluation of color descriptors for object and scene recognition. In PAMI, 2009. (in press).
23. P. Viola, M. Jones, and D. Snow. Detecting pedestrians using patterns of motion and appearance. In ICCV, 2003.
24. X. Wang, T. X. Han, and S. Yan. A HOG-LBP human detector with partial occlusion handling. In ICCV, 2009.
25. T. Watanabe, S. Ito, and K. Yokoi. Co-occurrence histograms of oriented gradients for pedestrian detection. In PSIVT, 2009.
26. M. Werlberger, W. Trobin, T. Pock, A. Wedel, D. Cremers, and H. Bischof. Anisotropic Huber-L1 optical flow. In BMVC, 2009.
27. C. Wojek, S. Walk, and B. Schiele. Multi-cue onboard pedestrian detection. In CVPR, 2009.
28. B. Wu and R. Nevatia. Detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet part detectors. IJCV, 75(2):247-266, 2007.
29. C. Zach, T. Pock, and H. Bischof. A duality based approach for realtime TV-L1 optical flow. In DAGM, 2007.
30. Q. Zhu, M.-C. Yeh, K.-T. Cheng, and S. Avidan. Fast human detection using a cascade of histograms of oriented gradients. In CVPR, 2006.