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129
Voted
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
16 years 4 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
ICCV
2007
IEEE
16 years 4 months ago
Relative Epipolar Motion of Tracked Features for Correspondence in Binocular Stereo
Most 3D reconstruction solutions focus on surfaces, and there has not been much research attention paid to the problem of reconstructing 3D scenes made up of large numbers of part...
Hao Du, Danping Zou, Yan Qiu Chen
ICCV
2005
IEEE
16 years 4 months ago
Simultaneous Facial Action Tracking and Expression Recognition Using a Particle Filter
The recognition of facial gestures and expressions in image sequences is an important and challenging problem. Most of the existing methods adopt the following paradigm. First, fa...
Fadi Dornaika, Franck Davoine
ICCV
1999
IEEE
16 years 4 months ago
Resynthesizing Facial Animation through 3D Model-based Tracking
Given video footage of a person's face, we present new techniques to automatically recover the face position and the facial expression from each frame in the video sequence. ...
Frederic H. Pighin, Richard Szeliski, David Salesi...
104
Voted
CVPR
2010
IEEE
15 years 10 months ago
Efficient Extraction of Human Motion Volumes by Tracking
We present an automatic and efficient method to extract spatio-temporal human volumes from video, which combines top-down model-based and bottom-up appearancebased approaches. Fr...
Juan Carlos Niebles, Bohyung Han, Li Fei-Fei