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» Probabilistic human pose recovery from 2D images
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CVPR
2007
IEEE
14 years 9 months ago
Detailed Human Shape and Pose from Images
Much of the research on video-based human motion capture assumes the body shape is known a priori and is represented coarsely (e.g. using cylinders or superquadrics to model limbs...
Alexandru O. Balan, Leonid Sigal, Michael J. Black...
30
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HUMO
2000
Springer
13 years 11 months ago
Specialized Mappings and the Estimation of Human Body Pose from a Single Image
We present an approach for recovering articulated body pose from single monocular images using the Specialized Mappings Architecture (SMA), a non-linear supervised learning archit...
Rómer Rosales, Stan Sclaroff
ECCV
2002
Springer
14 years 9 months ago
Automatic Detection and Tracking of Human Motion with a View-Based Representation
Abstract. This paper proposes a solution for the automatic detection and tracking of human motion in image sequences. Due to the complexity of the human body and its motion, automa...
Ronan Fablet, Michael J. Black
ECCV
2004
Springer
14 years 9 months ago
Human Pose Estimation Using Learnt Probabilistic Region Similarities and Partial Configurations
Abstract. A model of human appearance is presented for efficient pose estimation from real-world images. In common with related approaches, a high-level model defines a space of co...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
SIGGRAPH
2010
ACM
13 years 12 months ago
VideoMocap: modeling physically realistic human motion from monocular video sequences
This paper presents a video-based motion modeling technique for generating physically realistic human motion from monocular video sequences. We formulate the video-based motion mo...
Xiaolin Wei, Jinxiang Chai