Human Behavior Analysis Using Multiple 2D Features and Multicategory Support Vector Machine

@inproceedings{Mo2009HumanBA,
  title={Human Behavior Analysis Using Multiple 2D Features and Multicategory Support Vector Machine},
  author={Hao-Cheng Mo and Jin-Jang Leou and Cheng-Shian Lin},
  booktitle={MVA},
  year={2009}
}
In this study, a human behavior analysis system using multiple 2D (two-dimensional) features and a multicategory support vector machine is proposed. In the proposed system, three kinds of features, namely, human star skeleton, angles of six sticks in the star skeleton, and object motion vectors, are employed to train the human posture classifier and recognize human postures. Based on the recognized human postures, a backward search strategy is proposed to recognize human actions. Based on the… CONTINUE READING
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