Yang W, Wang Y, Mori G.Recognizing human actions from still images with latent poses[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.San Francisco, CA:IEEE, 2010:2030-2037.
[2]
Yang Y, Ramanan D. Articulated pose estimation with flexiblemixtures-of-parts[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Colorado Springs, CO:IEEE, 2011:1385-1392.
[3]
Yao B, Fei-Fei L.Action recognition with exemplar based 2.5 D graph matching[C]//Proceedings of the 12th European Conference on Computer Vision. Berlin:Springer, 2012:173-186.
[4]
Khan F S, Weijer vandeJ, Rao M A, et al. Semantic pyramids for gender and action recognition[J].IEEE Transactions on Image Processing, 2014, 23(8):3633-3645.
[5]
Desai C, Ramanan D. Detecting actions, poses, and objects with relational phraselets[C]//Proceedings of the 12th European Conference on Computer Vision. Berlin:Springer, 2012:158-172.
[6]
Sharma G, Jurie F, Schmid C.Expanded parts model for human attribute and action recognition in still images[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.Portland, OR:IEEE, 2013:652-659.
[7]
Sadeghi M A, Farhadi A.Recognition using visual phrases[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Colorado Springs, CO:IEEE, 2011:1745-1752.
[8]
Felzenszwalb P F, Huttenlocher D P.Pictorial structures for object recognition[J].International Journal of Computer Vision, 2005, 61(1):55-79.
[9]
Khan F S, Anwer R M, Weijer van de J, et al. Coloring action recognition in still images[J]. International Journal of Computer Vision, 2013, 105(3):205-221.
[10]
Delaitre V, Laptev I, Sivic J.Recognizing human actions in still images:a study of bag-of-features and part-based representations[C]//Proceedings of the 21st British Machine Vision Conference. Aberystwyth:BMVA, 2010:97.1-97.11.
[11]
Felzenszwalb P F, Girshick R B, McAllester D, et al. Object detection with discriminatively trained part-based models[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010,32(9):1627-1645.
[12]
Eichner M, Marin-Jimenez M, Zisserman A, et al. 2d articulated human pose estimation and retrieval in (almost) unconstrained still images[J]. International Journal of Computer Vision, 2012, 99(2):190-214.
[13]
Walk S, Majer N, Schindler K, et al. New features and insights for pedestrian detection[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. San Francisco, CA:IEEE,2010:1030-1037.
[14]
Yao B, Jiang X, Khosla A, et al. Human action recognition by learning bases of action attributes and parts[C]//Proceedings of IEEE International Conference on Computer Vision. Barcelona, Spain:IEEE, 2011:1331-1338.
[15]
Wang X, Wo B H, Guan Q, et al. Human action recognition based on manifold learning[J]. Journal of Image and Graphics, 2014, 19(6):914-923.[王鑫, 沃波海, 管秋, 等. 基于流形学习的人体动作识别[J].中国图象图形学报, 2014, 19(6):914-923.][DOI:10.11834/jig.20140612]
[16]
Wang Y Y, Li Y B, Ji X F. Human action recognition based on super-interst points features[J]. Journalof Image and Graphics, 2013, 18(7):805-812.[王扬扬, 李一波, 姬晓飞. 人体动作的超兴趣点特征表述及识别[J].中国图象图形学报, 2013, 18(7):805-812.][DOI:10.11834/jig.20130710]
