Tracking multiple objects using probability hypothesis density filter and color measurements

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

Saved in:
書目詳細資料
Main Authors: Nam, T.P., Weimin, H., Ong, S.H.
其他作者: ELECTRICAL & COMPUTER ENGINEERING
格式: Conference or Workshop Item
出版: 2014
在線閱讀:http://scholarbank.nus.edu.sg/handle/10635/72067
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
id sg-nus-scholar.10635-72067
record_format dspace
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
_version_ 1821212082664636416