Human Body Pose Estimation Using Silhouette Shape Analysis
نویسندگان
چکیده
We describe a system for human body pose estimation from multiple views that is fast and completely automatic. The algorithm is able to work in the presence of multiple people by decoupling the problems of pose estimation of different people.The pose is estimated based on a likelihood function that integrates information from multiple views and thus obtains a globally optimum solution. Other characteristics that make our method more general than previous work include: (1) no manual initialization, (2) no specification of the dimensions of the 3D structure, (3) no reliance on some learned poses or patterns of activity, and (4) insensitivity to edges and clutter in the background and within the foreground. The algorithm has applications in surveillance and promising results have been obtained.
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Human Body Pose Estimation Using Silhouette Shape Analysis
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