Recognizing human actions: a local SVM approach
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[1] Jake K. Aggarwal,et al. Human motion analysis: a review , 1997, Proceedings IEEE Nonrigid and Articulated Motion Workshop.
[2] James W. Davis,et al. The representation and recognition of human movement using temporal templates , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[3] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[4] James L. Crowley,et al. Probabilistic recognition of activity using local appearance , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).
[5] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[6] Thomas B. Moeslund,et al. A Survey of Computer Vision-Based Human Motion Capture , 2001, Comput. Vis. Image Underst..
[7] Lihi Zelnik-Manor,et al. Event-based analysis of video , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[8] Jitendra Malik,et al. Spectral Partitioning with Indefinite Kernels Using the Nyström Extension , 2002, ECCV.
[9] Jitendra Malik,et al. Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[10] Lior Wolf,et al. Kernel principal angles for classification machines with applications to image sequence interpretation , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[11] Barbara Caputo,et al. Recognition with local features: the kernel recipe , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[12] Ivan Laptev,et al. On Space-Time Interest Points , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[13] Ivan Laptev,et al. Local spatio-temporal image features for motion interpretation , 2004 .
[14] Ivan Laptev,et al. Velocity adaptation of space-time interest points , 2004, ICPR 2004.
[15] Michael J. Black,et al. EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation , 1996, International Journal of Computer Vision.