Segmenting and tracking objects in video sequences based on graphical probabilistic models

Ph.D

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Bibliographic Details
Main Author:	WANG YANG
Other Authors:	COMPUTER SCIENCE
Format:	Theses and Dissertations
Language:	English
Published:	2010
Subjects:	Bayesian network, foreground segmentation, graphical model, Markov random field, multi-object tracking, video segmentation.
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/14343
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-14343
record_format	dspace
spelling	sg-nus-scholar.10635-143432020-11-18T02:58:42Z Segmenting and tracking objects in video sequences based on graphical probabilistic models WANG YANG COMPUTER SCIENCE LOE KIA FOCK Bayesian network, foreground segmentation, graphical model, Markov random field, multi-object tracking, video segmentation. Ph.D DOCTOR OF PHILOSOPHY 2010-04-08T10:42:12Z 2010-04-08T10:42:12Z 2004-10-03 Thesis WANG YANG (2004-10-03). Segmenting and tracking objects in video sequences based on graphical probabilistic models. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/14343 NOT_IN_WOS en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Bayesian network, foreground segmentation, graphical model, Markov random field, multi-object tracking, video segmentation.
spellingShingle	Bayesian network, foreground segmentation, graphical model, Markov random field, multi-object tracking, video segmentation. WANG YANG Segmenting and tracking objects in video sequences based on graphical probabilistic models
description	Ph.D
author2	COMPUTER SCIENCE
author_facet	COMPUTER SCIENCE WANG YANG
format	Theses and Dissertations
author	WANG YANG
author_sort	WANG YANG
title	Segmenting and tracking objects in video sequences based on graphical probabilistic models
title_short	Segmenting and tracking objects in video sequences based on graphical probabilistic models
title_full	Segmenting and tracking objects in video sequences based on graphical probabilistic models
title_fullStr	Segmenting and tracking objects in video sequences based on graphical probabilistic models
title_full_unstemmed	Segmenting and tracking objects in video sequences based on graphical probabilistic models
title_sort	segmenting and tracking objects in video sequences based on graphical probabilistic models
publishDate	2010
url	https://scholarbank.nus.edu.sg/handle/10635/14343
_version_	1684664521544695808

Segmenting and tracking objects in video sequences based on graphical probabilistic models

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