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» Probabilistic Motion Estimation Based on Temporal Coherence
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AMDO
2006
Springer
13 years 11 months ago
Acquisition of Articulated Human Body Models Using Multiple Cameras
Abstract. Motion capture is an important application in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods typ...
Aravind Sundaresan, Rama Chellappa
CVPR
2008
IEEE
14 years 2 months ago
A Loopy Belief Propagation approach for robust background estimation
Background estimation, i.e. automatic recovery of the background image from a sequence of images containing moving foreground objects, is an important module in many applications,...
Xun Xu, Thomas S. Huang
BMVC
2001
13 years 10 months ago
Adaptive Visual System for Tracking Low Resolution Colour Targets
This paper addresses the problem of using appearance and motion models in classifying and tracking objects when detailed information of the object’s appearance is not available....
Pakorn KaewTrakulPong, Richard Bowden
NIPS
2004
13 years 9 months ago
A Three Tiered Approach for Articulated Object Action Modeling and Recognition
Visual action recognition is an important problem in computer vision. In this paper, we propose a new method to probabilistically model and recognize actions of articulated object...
Le Lu, Gregory D. Hager, Laurent Younes
IJCV
2006
116views more  IJCV 2006»
13 years 7 months ago
On Single-Sequence and Multi-Sequence Factorizations
Subspace based factorization methods are commonly used for a variety of applications, such as 3D reconstruction, multi-body segmentation and optical flow estimation. These are usu...
Lihi Zelnik-Manor, Michal Irani