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ACCV
2006
Springer

Multi-camera Tracking of Articulated Human Motion Using Motion and Shape Cues

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Multi-camera Tracking of Articulated Human Motion Using Motion and Shape Cues
Abstract. We present a framework and algorithm for tracking articulated motion for humans. We use multiple calibrated cameras and an articulated human shape model. Tracking is performed using motion cues as well as image-based cues (such as silhouettes and "motion residues" hereafter referred to as spatial cues,) as opposed to constructing a 3D volume image or visual hulls. Our algorithm consists of a predictor and corrector: the predictor estimates the pose at the t + 1 using motion
Aravind Sundaresan, Rama Chellappa
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where ACCV
Authors Aravind Sundaresan, Rama Chellappa
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