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Proceedings Paper

Variational frame difference models for motion segmentation
Author(s): Bowen Liu; Weibo Wei; Zhenkuan Pan; Shourun Wang
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Paper Abstract

Frame difference method is a good method for motion segmentation, but its result contains much wrong motion regions and incomplete motion objects. In this paper we combine variational method with frame difference method to propose two motion segmentation models, and the proposed models are based on different invariance assumptions. The models can detect motion objects and make up for the inadequacy of frame differential method with smooth terms. Experimental results show that the proposed models can detect motion objects better.

Paper Details

Date Published: 17 March 2017
PDF: 7 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034115 (17 March 2017); doi: 10.1117/12.2268504
Show Author Affiliations
Bowen Liu, Qingdao Univ. (China)
Weibo Wei, Qingdao Univ. (China)
Zhenkuan Pan, Qingdao Univ. (China)
Shourun Wang, Qingdao Univ. (China)

Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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