Body Pose as an Indicator of Human-Object Interaction Undergraduate Honors Thesis

نویسندگان

  • Nona Sirakova
  • Kristen Grauman
  • Chandrajit L Bajaj
  • Michael Walfish
چکیده

Human-object interaction recognition is important for detection of particular actions, small or partially occluded objects and video analysis. Our approach analyzes body poses and determines which ones are indicative of human-object interaction. We tested the method using videos containing different household actions. On average we obtained between 70 and 90 percent precision for the videos we tested on.

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تاریخ انتشار 2012