Learning people detection models from few training samples

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

Volumn , Issue , 2011, Pages 1473-1480

  Pishchulin, Leonid ^a   Jain, Arjun ^a   Wojek, Christian ^a   Andriluka, Mykhaylo ^a   Thormählen, Thorsten ^a   Schiele, Bernt ^a  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

SAMPLING; THREE DIMENSIONAL COMPUTER GRAPHICS;

3D SHAPE MODEL; APPEARANCE-BASED MODELS; DATA GENERATION; NON-TRIVIAL TASKS; PEOPLE DETECTION; STATE-OF-THE-ART METHODS; TRAINING DATA; TRAINING SAMPLE;

COMPUTER VISION;

EID: 80052902380     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995574     Document Type: Conference Paper

References (28)

1. M. Andriluka, S. Roth, and B. Schiele. Pictorial structures revisited: People detection and articulated pose estimation. In CVPR, 2009.
2. M. Andriluka, S. Roth, and B. Schiele. Monocular 3d pose estimation and tracking by detection. In CVPR, 2010.
3. D. Anguelov, P. Srinivasan, D. Koller, S. Thrun, J. Rodgers, and J. Davis. SCAPE: Shape completion and animation of people. In ACM TOG (Proc. SIGGRAPH), 2005.
4. A. Balan, L. Sigal, M. Black, J. Davis, and H. Haussecker. Detailed human shape and pose from images. In CVPR, 2007.
5. S. Belongie, J. Malik, and J. Puzicha. Shape matching and object recognition using shape contexts. PAMI, 24(4):509-522, 2002.
6. A. Broggi, A. Fascioli, P. Grisleri, T. Graf, and M. Meinecke. Modelbased validation approaches and matching techniques for automotive vision based pedestrian detection. In CVPR, 2005.
7. R. Brooks, R. Creiner, and T. Binford. The acronym model-based vision system. In Intern. Joint Conference on Artiticial Intelligence, pages 105-113, 1979.
8. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
9. P. Dollár, C. Wojek, B. Schiele, and P. Perona. Pedestrian Detection: A Benchmark. In CVPR, 2009.
10. M. Enzweiler and D. M. Gavrila. A mixed generative-discriminative framework for pedestrian classification. In CVPR, 2008.
11. M. Enzweiler and D. M. Gavrila. Monocular pedestrian detection: Survey and experiments. PAMI, 2009.
12. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL visual object classes (VOC) challenge. IJCV, 88(2):303-338, June 2010.
13. P. F. Felzenszwalb, R. B. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part-based models. PAMI, 32:1627-1645, 2010.
14. P. F. Felzenszwalb and D. P. Huttenlocher. Pictorial structures for object recognition. IJCV, 61:55-79, Jan. 2005.
15. V. Ferrari, M. Marin, and A. Zisserman. Progressive search space reduction for human pose estimation. In CVPR, 2008.
16. M. A. Fischler and R. A. Elschlager. The representation and matching of pictorial structures. IEEE Trans. on Computer, 22(1):67-92, Jan. 1973.
17. Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139, 1997.
18. K. Grauman, G. Shakhnarovich, and T. Darrell. Inferring 3d structure with a statistical image-based shape model. In ICCV, pages 641-648, 2003.
19. P. Guan, O. Freifeld, and M. J. Black. A 2d human body model dressed in eigen clothing. In ECCV, 2010.
20. N. Hasler, C. Stoll, M. Sunkel, B. Rosenhahn, and H.-P. Seidel. A statistical model of human pose and body shape. In CGF (Proc. Eurographics 2008), volume 2, 2009.
21. A. Jain, T. Thormählen, H.-P. Seidel, and C. Theobalt. Moviereshape: Tracking and reshaping of humans in videos. ACM Trans. Graph. (Proc. SIGGRAPH Asia), 29(5), 2010.
22. I. Laptev. Improving object detection with boosted histograms. Image Vision Comput., 27(5):535-544, 2009.
23. J. Liebelt, C. Schmid, and K. Schertler. Viewpoint-independent object class detection using 3D feature maps. In CVPR, 2008.
24. D. Lowe. Three-dimensional object recognition from single twodimensional images. Artificial Intelligence, 31:355-395, 1987.
25. S. Maji, A. Berg, and J. Malik. Classification using intersection kernel SVMs is efficient. In CVPR, 2008.
26. J. Marin, D. Vazquez, D. Geronimo, and A. Lopez. Learning appearance in virtual scenarios for pedestrian detection. In CVPR, pages 137-144, 2010.
27. D. Marr and H. Nishihara. Representation and recognition of the spatial organization of three-dimensional shapes. Proc. Roy. Soc. London B 200, pages 269-194, 1978.
28. M. Stark, M. Goesele, and B. Schiele. Back to the future: Learning shape models from 3D CAD data. In British Machine Vision Conference (BMVC), 2010.