Tracking multiple objects using probability hypothesis density filter and color measurements

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

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Bibliographic Details
Main Authors: Nam, T.P., Weimin, H., Ong, S.H.
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Conference or Workshop Item
Published: 2014
Online Access:http://scholarbank.nus.edu.sg/handle/10635/72067
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Institution: National University of Singapore
id sg-nus-scholar.10635-72067
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spelling sg-nus-scholar.10635-720672024-11-13T18:35:44Z Tracking multiple objects using probability hypothesis density filter and color measurements Nam, T.P. Weimin, H. Ong, S.H. ELECTRICAL & COMPUTER ENGINEERING Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007 1511-1514 2014-06-19T03:31:03Z 2014-06-19T03:31:03Z 2007 Conference Paper Nam, T.P.,Weimin, H.,Ong, S.H. (2007). Tracking multiple objects using probability hypothesis density filter and color measurements. Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007 : 1511-1514. ScholarBank@NUS Repository. 1424410177 http://scholarbank.nus.edu.sg/handle/10635/72067 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
author2 ELECTRICAL & COMPUTER ENGINEERING
author_facet ELECTRICAL & COMPUTER ENGINEERING
Nam, T.P.
Weimin, H.
Ong, S.H.
format Conference or Workshop Item
author Nam, T.P.
Weimin, H.
Ong, S.H.
spellingShingle Nam, T.P.
Weimin, H.
Ong, S.H.
Tracking multiple objects using probability hypothesis density filter and color measurements
author_sort Nam, T.P.
title Tracking multiple objects using probability hypothesis density filter and color measurements
title_short Tracking multiple objects using probability hypothesis density filter and color measurements
title_full Tracking multiple objects using probability hypothesis density filter and color measurements
title_fullStr Tracking multiple objects using probability hypothesis density filter and color measurements
title_full_unstemmed Tracking multiple objects using probability hypothesis density filter and color measurements
title_sort tracking multiple objects using probability hypothesis density filter and color measurements
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/72067
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