The Recognition of Human Movement Using Temporal Templates

  • Authors:
  • Aaron F. Bobick;James W. Davis

  • Affiliations:
  • Georgia Tech., Atlanta;Ohio State Univ., Columbus

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 2001

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Abstract

A new view-based approach to the representation and recognition of human movement is presented. The basis of the representation is a temporal template驴a static vector-image where the vector value at each point is a function of the motion properties at the corresponding spatial location in an image sequence. Using aerobics exercises as a test domain, we explore the representational power of a simple, two component version of the templates: The first value is a binary value indicating the presence of motion and the second value is a function of the recency of motion in a sequence. We then develop a recognition method matching temporal templates against stored instances of views of known actions. The method automatically performs temporal segmentation, is invariant to linear changes in speed, and runs in real-time on standard platforms.