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» Video Objects Segmentation by Robust Background Modeling
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ICCV
2009
IEEE
13 years 5 months ago
Robust dynamical model for simultaneous registration and segmentation in a variational framework: A Bayesian approach
We introduce a dynamical model for simultaneous registration and segmentation in a variational framework for image sequences, where the dynamics is incorporated using a Bayesian f...
Pratim Ghosh, Mehmet Emre Sargin, Bangalore S. Man...
TCSV
2002
229views more  TCSV 2002»
13 years 7 months ago
Automatic segmentation of moving objects in video sequences: a region labeling approach
Abstract--The emerging video coding standard MPEG-4 enables various content-based functionalities for multimedia applications. To support such functionalities, as well as to improv...
Yaakov Tsaig, Amir Averbuch
ICIP
2005
IEEE
14 years 9 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
ICPR
2004
IEEE
14 years 9 months ago
Robust Playfield Segmentation using MAP Adaptation
A vital task in sports video annotation is to detect and segment areas of the playfield. This is an important first step in player or ball tracking and detecting the location of t...
Jean-Marc Odobez, Mark Barnard
EMMCVPR
2001
Springer
14 years 16 days ago
Maximum Likelihood Estimation of the Template of a Rigid Moving Object
Abstract. Motion segmentation methods often fail to detect the motions of low textured regions. We develop an algorithm for segmentation of low textured moving objects. While usual...
Pedro M. Q. Aguiar, José M. F. Moura