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Proceedings of 2009 International Workshop on Information Security and Application (IWISA 2009)

Qingdao, China, November 21-22, 2009

Editors: Feng Gao and Xijun Zhu

AP Catalog Number: AP-PROC-CS-09CN004

ISBN: 978-952-5726-06-0

Page(s): 605-608

Video Object Segmentation of Still Background

††††††† Jianlin Zhao, Zeju Wu, Jundong Chen, and Jing Wang

Full text:† PDF


In this paper, according to statistical features of the foreground and the background, we propose a novel video object segmentation algorithm,† this algorithm is a Bayes decision-making theory with least risk base on still background.† Experiments on the platform of TMS320C6711 IDK(Imaging Developerís Kit) of Texas Instruments proves that this algorithm can segment video object and meet needs of applications of MPEG-4.

Index Terms

video object segmentation, still background, Bayes decision-making theory

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