Object detection using strongly-supervised deformable part models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7572 LNCS, Issue PART 1, 2012, Pages 836-849

  Azizpour, Hossein ^a   Laptev, Ivan ^b  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^b INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; DETECTION PERFORMANCE; MODEL INITIALIZATION; NONCONVEX COST FUNCTIONS; OBJECT DETECTION; OBJECT DETECTORS; PARTIAL OCCLUSIONS; POSITIVE EXAMPLES; SEMI-SUPERVISED LEARNING; STATE-OF-THE-ART PERFORMANCE;

COMPUTER VISION; OPTIMIZATION; SUPERVISED LEARNING;

OBJECT RECOGNITION;

EID: 84867871564     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33718-5_60     Document Type: Conference Paper

References (29)

1. Felzenszwalb, P., Girshick, R., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part based models. PAMI 32, 1627-1645 (2010)
2. Zhu, L., Chen, Y., Yuille, A., Freeman, W.: Latent hierarchical structural learning for object detection. In: CVPR, pp. 1062-1069 (2010)
3. Bourdev, L., Malik, J.: Poselets: Body part detectors trained using 3D human pose annotations. In: ICCV (2009)
4. Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: A large-scale hierarchical image database. In: CVPR (2009)
5. Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A. (The PASCAL Visual Object Classes Challenge 2010 VOC 2010, Results) (2010)
6. Fischler, M., Elschlager, R.: The representation and matching of pictorial structures. TC 22, 67-92 (1973)
7. Felzenszwalb, P., Huttenlocher, D.: Pictorial structures for object recognition. IJCV 61, 55-79 (2005)
8. Ramanan, D.: Learning to parse images of articulated bodies. In: NIPS (2006)
9. Ferrari, V., Marin-Jimenez, M., Zisserman, A.: Pose search: Retrieving people using their pose. In: CVPR (2009)
10. Yang, Y., Ramanan, D.: Articulated pose estimation with flexible mixtures-of-parts. In: CVPR, pp. 1385-1392 (2011)
11. Yang, W., Wang, Y., Mori, G.: Recognizing human actions from still images with latent poses. In: CVPR, pp. 2030-2037 (2010)
12. Cristinacce, D., Cootes, T.: Feature detection and tracking with constrained local models. In: BMVC (2006)
13. Naderi Parizi, S., Oberlin, J., Felzenszwalb, P.: Reconfigurable models for scene recognition. In: CVPR (2012)
14. Ott, P., Everingham, M.: Shared parts for deformable part-based models. In: CVPR (2011)
15. Wang, Y., Tran, D., Liao, Z.: Learning hierarchical poselets for human parsing. In: CVPR, pp. 1705-1712 (2011)
16. Branson, S., Belongie, S., Perona, P.: Strong supervision from weak annotation: Interactive training of deformable part models. In: ICCV (2011)
17. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR, pp. I:886-I:893 (2005)
18. Sivic, J., Zisserman, A.: Video google: A text retrieval approach to object matching in videos. In: ICCV, pp. 1470-1477 (2003)
19. Zhang, J., Marszalek, M., Lazebnik, S., Schmid, C.: Local features and kernels for classification of texture and object categories: a comprehensive study. IJCV 73, 213-238 (2007)
20. Chen, Y., Zhu, L(L.), Yuille, A.: Active Mask Hierarchies for Object Detection. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 43-56. Springer, Heidelberg (2010)
21. Parkhi, O., Vedaldi, A., Jawahar, C.V., Zisserman, A.: The truth about cats and dogs. In: ICCV (2011)
22. Bourdev, L., Maji, S., Brox, T., Malik, J.: Detecting People Using Mutually Consistent Poselet Activations. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part VI. LNCS, vol. 6316, pp. 168-181. Springer, Heidelberg (2010)
23. Johnson, S., Everingham, M.: Learning effective human pose estimation from inaccurate annotation. In: CVPR (2011)
24. Sun, M., Savarese, S.: Articulated part-based model for joint object detection and pose estimation. In: ICCV (2011)
25. Zhu, X., Ramanan, D.: Face detection, pose estimation, and landmark localization in the wild. In: CVPR (2012)
26. Koller, D., Friedman, N.: Probabilistic Graphical Models: Principles and Techniques. MIT Press (2009)
27. Harris, C., Stephens, C.: A combined corner and edge detector. In: Alvey Vision Conference (1998)
28. Girshick, A., Felzenszwalb, P., McAllester, D.: LSVM Release 4 Notes, http://www.cs.brown.edu/people/pff/latent/
29. Ferrari, V., Marin-Jimenez, M., Zisserman, A.: Progressive search space reduction for human pose estimation. In: CVPR (2008)