Behavior Recognition with HMM and Feature Analysis using a Wide-view Camera and a PTZ camera

نویسندگان

  • Akihito Kotera
  • Masatsugu Kidode
چکیده

This paper proposes a method for recognizing human behaviors based on a combination of “overall motion analysis using Hidden Markov Model (HMM)” and “detailed feature analysis in a specific area by using an active (pan-tilt-zoom, PTZ) camera”. The PTZ parameters are controlled depending on the intermediate result of analyzing the target’s motions based on HMM. As a result, our system can distinguish between similar behaviors by observing high-resolution characteristic features (e.g., motion/shape). Experimental results demonstrated the effectiveness of the proposed system.

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تاریخ انتشار 2009