Human Action Recognition and Localization in Video Using Structured Learning of Local Space-Time Features

@article{Thi2010HumanAR,
  title={Human Action Recognition and Localization in Video Using Structured Learning of Local Space-Time Features},
  author={Tuan Hue Thi and Jian Zhang and Li Cheng and Li Wang and Shinichi Satoh},
  journal={2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance},
  year={2010},
  pages={204-211}
}
This paper presents a unified framework for human actionclassification and localization in video using structuredlearning of local space-time features. Each human actionclass is represented by a set of its own compact set of localpatches. In our approach, we first use a discriminativehierarchical Bayesian classifier to select those space-timeinterest points that are constructive for each particular action.Those concise local features are then passed to a SupportVector Machine with Principal… CONTINUE READING
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