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» Implicit Probabilistic Models of Human Motion for Synthesis ...
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CVPR
2010
IEEE
13 years 10 months ago
Real-time Tracking of Multiple Occluding Objects using Level Sets
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
Charles Bibby, Ian Reid
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
14 years 1 months ago
Stereo-based Markerless Human Motion Capture for Humanoid Robot Systems
Abstract— In this paper, we present an image-based markerless human motion capture system, intended for humanoid robot systems. The restrictions set by this ambitious goal are nu...
Pedram Azad, Ales Ude, Tamim Asfour, Rüdiger ...
SPEECH
1998
215views more  SPEECH 1998»
13 years 7 months ago
3D lip shapes from video: A combined physical-statistical model
Tracking human lips in video is an important but notoriously dicult task. To accurately recover their motions in 3D from any head pose is an even more challenging task, though s...
Sumit Basu, Nuria Oliver, Alex Pentland
FLAIRS
2007
13 years 10 months ago
Probabilistic Interactive Installations
We present a description of two small audio/visual immersive installations. The main framework is an interactive structure that enables multiple participants to generate jazz impr...
Constance G. Baltera, Sara B. Smith, Judy A. Frank...
ICPR
2000
IEEE
14 years 4 hour ago
Simultaneous Tracking of Head Poses in a Panoramic View
In this paper we present an approach to simultaneously estimate gaze directions of multiple people in the view of a panoramic camera. Human faces are located and tracked using a p...
Rainer Stiefelhagen, Jie Yang, Alex Waibel