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99
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ICMCS
2010
IEEE
193views Multimedia» more  ICMCS 2010»
14 years 11 months ago
Motion segmentation in compressed video using Markov Random Fields
In this paper, we propose an unsupervised segmentation algorithm for extracting moving objects/regions from compressed video using Markov Random Field (MRF) classification. First,...
Yue-Meng Chen, Ivan V. Bajic, Parvaneh Saeedi
IAJIT
2008
118views more  IAJIT 2008»
14 years 10 months ago
Integration of the Association Ends within UML State Diagrams
: UML currently still lacks a rigorously defined semantics for its models, which makes formally analyzing a model and verifying its properties extremely difficult. To remedy that, ...
Thouraya Bouabana-Tebibel, Mounira Belmesk
PR
2006
111views more  PR 2006»
14 years 10 months ago
The Bhattacharyya space for feature selection and its application to texture segmentation
A feature selection methodology based on a novel Bhattacharyya space is presented and illustrated with a texture segmentation problem. The Bhattacharyya space is constructed from ...
Constantino Carlos Reyes-Aldasoro, Abhir Bhalerao
89
Voted
PRL
2006
117views more  PRL 2006»
14 years 10 months ago
Motion features to enhance scene segmentation in active visual attention
A new computational model for active visual attention is introduced in this paper. The method extracts motion and shape features from video image sequences, and integrates these f...
María T. López, Antonio Ferná...
IVC
2002
185views more  IVC 2002»
14 years 9 months ago
Path detection in video surveillance
This paper addresses the problem of automatically extracting frequently used pedestrian pathways from video sequences of natural outdoor scenes. Path models are learnt from the ac...
Dimitrios Makris, Tim Ellis