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NTIS 바로가기IEEE transactions on pattern analysis and machine intelligence, v.23 no.3, 2001년, pp.257 - 267
Bobick, A.F. (Coll. of Comput., Georgia Tech. Res. Inst., Atlanta, GA, USA) , Davis, J.W.
A view-based approach to the representation and recognition of human movement is presented. The basis of the representation is a temporal template-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.
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