Automatic body segmentation with graph cut and self-adaptive initialization level set (SAILS)
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AbstractIn this paper, we propose an automatic human body segmentation system which mainly consists of human body detection and object segmentation. Firstly, an automatic human body detector is designed to provide hard constraints on the object and background for segmentation. And a coarse-to-fine segmentation strategy is employed to deal with the situation of partly detected object. Secondly, background contrast removal (BCR) and self-adaptive initialization level set (SAILS) are proposed to solve the tough segmentation problems of the high contrast at object boundary and/or similar colors existing in the object and background. Finally, an object updating scheme is proposed to detect and segment new object when it appears in the scene. Experimental results demonstrate that our body segmentation system works very well in the live video and standard sequences with complex background. (C) 2011 Elsevier Inc. All rights reserved.
All Author(s) ListLiu Q, Li HL, Ngan KN
Journal nameJournal of Visual Communication and Image Representation
Year2011
Month7
Day1
Volume Number22
Issue Number5
PublisherElsevier
Pages367 - 377
ISSN1047-3203
eISSN1095-9076
LanguagesEnglish-United Kingdom
KeywordsBackground contrast removal; Body segmentation; Face detection; Graph cut; Level set; Motion estimation and compensation; Object detection; Object segmentation
Web of Science Subject CategoriesComputer Science; Computer Science, Information Systems; COMPUTER SCIENCE, INFORMATION SYSTEMS; Computer Science, Software Engineering; COMPUTER SCIENCE, SOFTWARE ENGINEERING

Last updated on 2020-06-08 at 01:41