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Multi-view 3D Human Pose Estimation in Complex Environment
2011
International Journal of Computer Vision
We introduce a framework for unconstrained 3D human upper body pose estimation from multiple camera views in complex environment. Its main novelty lies in the integration of three components: single-frame pose recovery, temporal integration and model texture adaptation. Single-frame pose recovery consists of a hypothesis generation stage, in which candidate 3D poses are generated, based on probabilistic hierarchical shape matching in each camera view. In the subsequent hypothesis verification
doi:10.1007/s11263-011-0451-1
fatcat:gad62w62k5adpflqa6l2udbxr4