A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
High-quality non-intrusive human motion capture is necessary for acquistion of model-based free-viewpoint video of human actors. Silhouette-based approaches have demonstrated that...
Christian Theobalt, Joel Carranza, Marcus A. Magno...
— This paper presents a parallel algorithm of the Level Set Method named the Parallel Fast Level Set Method, and its application for real-time 3D reconstruction of human shape an...
The ability to detect and track human heads and faces in video sequences can be considered as the finest level of any video surveillance system. In this paper, we introduce a gener...