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» Robust background estimation for complex video sequences
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ICPR
2000
IEEE
14 years 8 months ago
Mixture Densities for Video Objects Recognition
The appearance of non-rigid objects detected and tracked in video streams is highly variable and therefore makes the identification of similar objects very complex. Furthermore, i...
Riad I. Hammoud, Roger Mohr
ICMCS
2005
IEEE
124views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Fast inter frame encoding based on modes pre-decision in H.264
The new video coding standard, H.264 allows motion estimation performing on tree-structured block partitioning and multiple reference frames. This feature improves the prediction ...
Dongming Zhang, Yanfei Shen, Shouxun Lin, Yongdong...
VCIP
2001
199views Communications» more  VCIP 2001»
13 years 9 months ago
Estimation of large-amplitude motion and disparity fields: application to intermediate view reconstruction
This paper describes a method for establishing dense correspondence between two images in a video sequence (motion) or in a stereo pair (disparity) in case of large displacements....
Moustapha Kardouchi, Janusz Konrad, Carlos V&aacut...
FGR
2004
IEEE
230views Biometrics» more  FGR 2004»
13 years 11 months ago
Tracking Humans using Prior and Learned Representations of Shape and Appearance
Tracking a moving person is challenging because a person's appearance in images changes significantly due to articulation, viewpoint changes, and lighting variation across a ...
Jongwoo Lim, David J. Kriegman
AVSS
2006
IEEE
13 years 11 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks