Expanded parts model for human attribute and action recognition in still images

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

Volumn , Issue , 2013, Pages 652-659

  Sharma, Gaurav ^a   Jurie, Frederic ^a   Schmid, Cordelia ^b  

^a UNIVERSITÉ DE CAEN   (France)

^b INRIA RHÔNE ALPES   (France)

Author keywords

attributes; discriminative; expanded parts; human; human analysis; margin maximization; part based

Indexed keywords

ATTRIBUTES; DISCRIMINATIVE; EXPANDED PARTS; HUMAN; HUMAN ANALYSIS; PART-BASED;

COMPUTER SCIENCE; ELECTRICAL ENGINEERING; SOFTWARE ENGINEERING;

PATTERN RECOGNITION;

EID: 84887383068     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.90     Document Type: Conference Paper

References (40)

1. O. Boiman and M. Irani. Similarity by composition. In NIPS, 2006. 3
2. O. Boiman, E. Shechtman, and M. Irani. In defense of nearestneighbor based image classification. In CVPR, 2008. 3
3. L. Bourdev, S. Maji, and J. Malik. Describing people: Poselet-based attribute classification. In ICCV, 2011. 2
4. L. Bourdev and J. Malik. Poselets: Body part detectors trained using 3D human pose annotations. In ICCV, 2009. 2
5. G. Csurka, C. R. Dance, L. Fan, J. Willamowski, and C. Bray. Visual categorization with bags of keypoints. In Intl. Workshop on Stat. Learning in Comp. Vision, 2004. 2
6. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005. 2, 3
7. V. Delaitre, I. Laptev, and J. Sivic. Recognizing human actions in still images: A study of bag-of-features and part-based representations. In BMVC, 2010. 1, 2, 3, 5, 6
8. V. Delaitre, J. Sivic, and I. Laptev. Learning person-object interactions for action recognition in still images. In NIPS, 2011. 1, 6
9. C. Desai and D. Ramanan. Detecting actions, poses, and objects with relational phraselets. In ECCV, 2012. 2, 3
10. C. Desai, D. Ramanan, and C. Fowlkes. Discriminative models for static human-object interactions. In CVPR Workshops, 2010. 1
11. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2011 (VOC2011) Results. http://www. pascalnetwork. org/challenges/VOC/voc2011/workshop/index. html, 2011. 1, 2, 4
12. R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin. LIBLINEAR: A library for large linear classification. JMLR, 9:1871-1874, 2008. 5
13. P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. PAMI, 32(9):1627-1645, 2010. 2, 5, 6
14. R. Fergus, P. Perona, and A. Zisserman. Weakly supervised scaleinvariant learning of models for visual recognition. IJCV, 71(3):273-303, March 2007. 2
15. A. Gupta, A. Kembhavi, and L. S. Davis. Observing human-object interactions: Using spatial and functional compatibility for recognition. PAMI, 31:1775-1789, October 2009. 1
16. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories. In CVPR, 2006. 2, 3, 5, 6, 7
17. B. Leibe, A. Leonardis, and B. Schiele. Robust object detection with interleaved categorization and segmentation. IJCV, 77(1):259-289, 2008. 3
18. L. Li, H. Su, E. Xing, and L. Fei-Fei. Object bank: A high-level image representation for scene classification and semantic feature sparsification. In NIPS, 2010. 6, 7
19. D. Lowe. Distinctive image features form scale-invariant keypoints. IJCV, 60(2):91-110, 2004. 2
20. S. Maji, L. Bourdev, and J. Malik. Action recognition from a distributed representation of pose and appearance. In CVPR, 2011. 2
21. T. Malisiewicz, A. Gupta, and A. Efros. Ensemble of Exemplar-SVMs for object detection and beyond. In ICCV, 2011. 2
22. M. Pandey and S. Lazebnik. Scene recognition and weakly supervised object localization with deformable part-based models. In ICCV, 2011. 2
23. F. Perronnin, Z. Akata, Z. Harchaoui, and C. Schmid. Towards good practice in large-scale learning for image classification. In CVPR, 2012. 4, 5
24. A. Prest, C. Schmid, and V. Ferrari. Weakly supervised learning of interactions between humans and objects. PAMI, 2011. 1
25. G. Sharma and F. Jurie. Learning discriminative representation for image classification. In BMVC, 2011. 1, 5, 6
26. G. Sharma, F. Jurie, and C. Schmid. Discriminative spatial saliency for image classification. In CVPR, 2012. 1, 5, 6
27. J. Sivic and A. Zisserman. Video Google: A text retrieval approach to object matching in videos. In ICCV, 2003. 2
28. A. Vedaldi and B. Fulkerson. VLFeat: An open and portable library of computer vision algorithms. http://www. vlfeat. org/, 2008. 5
29. A. Vedaldi and A. Zisserman. Efficient additive kernels using explicit feature maps. In CVPR, 2010. 5
30. J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong. Localityconstrained linear coding for image classification. In CVPR, 2010. 7
31. S. Yan, X. Xu, D. Xu, S. Lin, and X. Li. Beyond spatial pyramids: A new feature extraction framework with dense spatial sampling for image classification. In ECCV, pages 473-487, 2012. 2
32. W. Yang, Y. Wang, and G. Mori. Recognizing human actions from still images with latent poses. In CVPR, 2010. 1
33. Y. Yang and D. Ramanan. Articulated pose estimation with flexible mixtures-of-parts. In CVPR. IEEE, 2011. 2, 3
34. B. Yao and L. Fei-Fei. Grouplet: A structured image representation for recognizing human and object interactions. In CVPR, 2010. 1
35. B. Yao and L. Fei-Fei. Modeling mutual context of object and human pose in human-object interaction activities. In CVPR, 2010. 1
36. B. Yao, X. Jiang, A. Khosla, A. L. Lin, L. J. Guibas, and L. Fei-Fei. Action recognition by learning bases of action attributes and parts. In ICCV, 2011. 6, 7
37. B. Yao, A. Khosla, and L. Fei-Fei. Combining randomization and discrimination for fine-grained image categorization. In CVPR, 2011. 1, 5
38. P. Zhu, L. Zhang, Q. Hu, and S. Shiu. Multi-scale patch based collaborative representation for face recognition with margin distribution optimization. In ECCV, 2012. 3
39. X. Zhu and D. Ramanan. Face detection, pose estimation, and landmark localization in the wild. In CVPR. IEEE, 2012. 2, 3
40. X. Zhu, C. Vondrick, D. Ramanan, and C. Fowlkes. Do we need more training data or better models for object detection? In BMVC, 2012. 2, 7