Pose Filter Based Hidden-CRF Models for Activity Detection

  title={Pose Filter Based Hidden-CRF Models for Activity Detection},
  author={Prithviraj Banerjee and Ramakant Nevatia},
Detecting activities which involve a sequence of complex pose and motion changes in unsegmented videos is a challenging task, and common approaches use sequential graphical models to infer the human pose-state in every frame. We propose an alternative model based on detecting the key-poses in a video, where only the temporal positions of a few key-poses are inferred. We also introduce a novel pose summarization algorithm to automatically discover the key-poses of an activity. We learn a… CONTINUE READING


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An Overview of Contest on Semantic Description of Human Activities (SDHA)

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  • ICPR contests
  • 2010
Highly Influential
5 Excerpts

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