Automatic body segmentation with graph cut and self-adaptive initialization level set (SAILS)
Publication in refereed journal

香港中文大學研究人員

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摘要In 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.
著者Liu Q, Li HL, Ngan KN
期刊名稱Journal of Visual Communication and Image Representation
出版年份2011
月份7
日期1
卷號22
期次5
出版社Elsevier
頁次367 - 377
國際標準期刊號1047-3203
電子國際標準期刊號1095-9076
語言英式英語
關鍵詞Background contrast removal; Body segmentation; Face detection; Graph cut; Level set; Motion estimation and compensation; Object detection; Object segmentation
Web of Science 學科類別Computer Science; Computer Science, Information Systems; COMPUTER SCIENCE, INFORMATION SYSTEMS; Computer Science, Software Engineering; COMPUTER SCIENCE, SOFTWARE ENGINEERING

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