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Active Contour-Based Visual Tracking by Integrating Colors, Shapes, and Motions

文献类型：期刊论文

作者Hu, Weiming1; Zhou, Xue2; Li, Wei1; Luo, Wenhan1; Zhang, Xiaoqin1; Maybank, Stephen3
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2013-05-01
卷号22期号:5页码:1778-1792
关键词Abrupt motion active contour-based tracking adaptive shape model dynamic shape model
英文摘要In this paper, we present a framework for active contour-based visual tracking using level sets. The main components of our framework include contour-based tracking initialization, color-based contour evolution, adaptive shape-based contour evolution for non-periodic motions, dynamic shape-based contour evolution for periodic motions, and the handling of abrupt motions. For the initialization of contour-based tracking, we develop an optical flow-based algorithm for automatically initializing contours at the first frame. For the color-based contour evolution, Markov random field theory is used to measure correlations between values of neighboring pixels for posterior probability estimation. For adaptive shape-based contour evolution, the global shape information and the local color information are combined to hierarchically evolve the contour, and a flexible shape updating model is constructed. For the dynamic shape-based contour evolution, a shape mode transition matrix is learnt to characterize the temporal correlations of object shapes. For the handling of abrupt motions, particle swarm optimization is adopted to capture the global motion which is applied to the contour in the current frame to produce an initial contour in the next frame.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
关键词[WOS]LEVEL SETS ; SEGMENTATION ; TEXTURE ; OBJECTS ; PRIORS ; IMAGE ; MODEL
收录类别SCI
语种英语
WOS记录号WOS:000318476800008
源URL[http://ir.ia.ac.cn/handle/173211/3269]  
专题自动化研究所_模式识别国家重点实验室_视频内容安全团队
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Univ Elect Sci & Technol China, Sch Automat, Chengdu 610054, Peoples R China
3.Univ London Birkbeck Coll, Dept Comp Sci & Informat Syst, London WC1E 7HX, England
推荐引用方式
GB/T 7714		 Hu, Weiming,Zhou, Xue,Li, Wei,et al. Active Contour-Based Visual Tracking by Integrating Colors, Shapes, and Motions[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2013,22(5):1778-1792.
APA Hu, Weiming,Zhou, Xue,Li, Wei,Luo, Wenhan,Zhang, Xiaoqin,&Maybank, Stephen.(2013).Active Contour-Based Visual Tracking by Integrating Colors, Shapes, and Motions.IEEE TRANSACTIONS ON IMAGE PROCESSING,22(5),1778-1792.
MLA Hu, Weiming,et al."Active Contour-Based Visual Tracking by Integrating Colors, Shapes, and Motions".IEEE TRANSACTIONS ON IMAGE PROCESSING 22.5(2013):1778-1792.

入库方式： OAI收割

来源：自动化研究所

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