本人總結的做計算機視覺中人體行爲識別的入門文章和實驗：
文章1：Dollár,P., et al. Behavior recognition via sparse spatio-temporal features. Visual Surveillance and PerformanceEvaluation of Tracking and Surveillance, 2005. 2nd Joint IEEE InternationalWorkshop on, 2005. IEEE, 65-72.
網址：http://vision.ucsd.edu/~pdollar/research.html#BehaviorRecognitionAnimalBehavior
文章2：Recognising action as clouds of space-time interest points，Computer Vision and Pattern Recognition,2009. CVPR 2009.
網址：http://www.eecs.qmul.ac.uk/~bregonzio/
文章3：Action snippets: How many frames does human actionrecognition require? Computer Vision and Pattern Recognition, 2008. CVPR 2008.
網址：http://www.pudn.com/downloads467/sourcecode/math/detail1961691.html(這是向作者要的)
文章4：Action Recognition by Dense Trajectories，CVPR2011
網址：http://lear.inrialpes.fr/people/wang/dense_trajectories
希望同行完成實驗能明白video-level，frame-level以及real-time的行爲識別的含義。
