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» Robust background estimation for complex video sequences
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CVPR
2006
IEEE
14 years 10 months ago
Successive Convex Matching for Action Detection
We propose human action detection based on a successive convex matching scheme. Human actions are represented as sequences of postures and specific actions are detected in video b...
Hao Jiang, Mark S. Drew, Ze-Nian Li
ICCV
2009
IEEE
2205views Computer Vision» more  ICCV 2009»
15 years 27 days ago
Video stabilization using robust feature trajectories
This paper proposes a new approach for video stabilization. Most existing video stabilization methods adopt a framework of three steps, motion estimation, motion compensation an...
Ken-Yi Lee, Yung-Yu, Chuang Bing-Yu, Chen Ming Ouh...
FSS
2007
85views more  FSS 2007»
13 years 7 months ago
Using quasi-continuous histograms for fuzzy main motion estimation in video sequence
This paper presents a new fuzzy framework for main motion estimation in video sequences. The estimation is performed using a fuzzy representation of pixel gray levels. The motion ...
Frederic Comby, Olivier Strauss
CVPR
2008
IEEE
14 years 2 months ago
3D face tracking and expression inference from a 2D sequence using manifold learning
We propose a person-dependent, manifold-based approach for modeling and tracking rigid and nonrigid 3D facial deformations from a monocular video sequence. The rigid and nonrigid ...
Wei-Kai Liao, Gérard G. Medioni
ACCV
2006
Springer
13 years 11 months ago
Double Regularized Bayesian Estimation for Blur Identification in Video Sequences
Blind blur identification in video sequences becomes more important. This paper presents a new method for identifying parameters of different blur kernels and image restoration in ...
Hongwei Zheng, Olaf Hellwich