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132
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ICCV
2003
IEEE
16 years 4 months ago
Tracking Articulated Body by Dynamic Markov Network
A new method for visual tracking of articulated objects is presented. Analyzing articulated motion is challenging because the dimensionality increase potentially demands tremendou...
Ying Wu, Gang Hua, Ting Yu
125
Voted
ICIP
2006
IEEE
16 years 4 months ago
An Efficient and Low-Delay Mctf Partitioning
In this paper, we compute the residual energy of predictive frames (i.e., unidirectional and bidirectional motion prediction) by using the autocorrelation between successive video...
Liyang Xu, Sunil Kumar
119
Voted
ICMCS
2007
IEEE
406views Multimedia» more  ICMCS 2007»
15 years 9 months ago
3D Haar-Like Features for Pedestrian Detection
One basic observation for pedestrian detection in video sequences is that both appearance and motion information are important to model the moving people. Based on this observatio...
Xinyi Cui, Yazhou Liu, Shiguang Shan, Xilin Chen, ...
125
Voted
IJCV
2000
195views more  IJCV 2000»
15 years 2 months ago
Optical Flow Constraints on Deformable Models with Applications to Face Tracking
Optical flow provides a constraint on the motion of a deformable model. We derive and solve a dynamic system incorporating flow as a hard constraint, producing a model-based least...
Douglas DeCarlo, Dimitris N. Metaxas
151
Voted
TOG
2012
208views Communications» more  TOG 2012»
13 years 5 months ago
Video-based 3D motion capture through biped control
Marker-less motion capture is a challenging problem, particularly when only monocular video is available. We estimate human motion from monocular video by recovering three-dimensi...
Marek Vondrak, Leonid Sigal, Jessica K. Hodgins, O...