Recognizing human actions: a local SVM approach

  title={Recognizing human actions: a local SVM approach},
  author={Christian Sch{\"u}ldt and Ivan Laptev and Barbara Caputo},
  journal={Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.},
  pages={32-36 Vol.3}
Local space-time features capture local events in video and can be adapted to the size, the frequency and the velocity of moving patterns. In this paper, we demonstrate how such features can be used for recognizing complex motion patterns. We construct video representations in terms of local space-time features and integrate such representations with SVM classification schemes for recognition. For the purpose of evaluation we introduce a new video database containing 2391 sequences of six human… CONTINUE READING
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