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» Tracking objects in video using motion and appearance models
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ICIP
1997
IEEE
13 years 11 months ago
Object Based Video with Progressive Foreground
A novel algorithm is described for coding objects in video compression systems which gives complete control over the bit allocation to the video objects. The method is evaluated b...
Donald M. Monro, Huijuan Li, J. A. Nicholls
ICIP
2009
IEEE
13 years 5 months ago
Block-Matching Translation And Zoom Motion-Compensated Prediction by sub-sampling
- In modern video coding standards, motion compensated prediction (MCP) plays a key role to achieve video compression efficiency. Most of them make use of block matching techniques...
Ka-Man Wong, Lai-Man Po, Kwok-Wai Cheung, Ka-Ho Ng
ICIP
2010
IEEE
13 years 5 months ago
3D video performance segmentation
We present a novel approach that achieves segmentation of subject body parts in 3D videos. 3D video consists in a freeviewpoint video of real-world subjects in motion immersed in ...
Tony Tung, Takashi Matsuyama
TOG
2008
122views more  TOG 2008»
13 years 7 months ago
Performance capture from sparse multi-view video
This paper proposes a new marker-less approach to capturing human performances from multi-view video. Our algorithm can jointly reconstruct spatio-temporally coherent geometry, mo...
Edilson de Aguiar, Carsten Stoll, Christian Theoba...
IVC
2011
190views more  IVC 2011»
13 years 2 months ago
A graphical model based solution to the facial feature point tracking problem
In this paper a facial feature point tracker that is motivated by applications such as human-computer interfaces and facial expression analysis systems is proposed. The proposed t...
Serhan Cosar, Müjdat Çetin