Automatic Model Initialization for 3-D Monocular Visual Tracking of Human Limbs in Unconstrained Environments
نویسندگان
چکیده
Automated 3-D tracking of the human body is a necessary prerequisite for interactive entertainment applications, video security systems, computer animation, bio-mechanical analysis and humancomputer interaction (e.g., gesture recognition). Currently, technologies use artificial markers and a feature tracking methodology to recover the target poses. In addition, most tracking systems alter the working environment and/or include multiple camera viewpoints in order to solve issues of occlusion and depth ambiguities. However, the constraint of artificial markers and the assumption of multiple viewpoint availability significantly reduce the range of operating environments for a tracking system, particularly in the analysis of archival video footage or in security monitoring applications. A single-view marker-less technique for both off-line and real-time on-line 3D tracking is presented and shown to be more than adequate for various 3D human body tracking applications. Key-Words: tracking, particle filter, bio-mechanical analysis, limbs
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Towards real-time 3-D monocular visual tracking of human limbs in unconstrained environments
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