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Human movement analysis around a view circle using time-order similarity distributions.pdf

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Human movement analysis around a view circle using time-order similarity distributions.pdf

J. Vis. Commun. Image R. 30 (2015) 22–34 Contents lists available at ScienceDirect J. Vis. Commun. Image R. journal homepage: /locate/jvci Human movement analysis around a view circle using time-order similarity distributions q Chi-Hung Chuang a, Jun-Wei Hsieh b,?, Hui-Fen Chiang b, Yi-Da Chiou c a Dept. of Learning and Digital Technology, Fo Guang University, No.160, Linwei Rd., Jiaosi, Yilan 26247, Taiwan b Dept. of Computer Science and Engineering, National Taiwan Ocean University, No.2, Beining Rd., Keelung 202, Taiwan c Department of Electrical Engineering, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li 320, Taiwan article info Article history: Received 26 November 2013 Accepted 9 February 2015 Available online 19 March 2015 Keywords: Video surveillance Centroid context Behavior analysis View invariance View circle Time-order similarity distribution Action classi?cation HMM Symmetrical projection View alignment abstract This paper presents a new behavior classi?cation system to analyze human movements around a view circle using time-order similarity distributions. To maintain the view in-variance, an action is represented not only from its spatial domain but also its temporal domain. After that, a novel alignment scheme is proposed for aligning each action to a ?xed view. With the best view, the task of behavior analysis becomes a string matching problem. One novel idea proposed in this paper is to code a posture using not only its best matched key posture but also other unmatched key postures to form various similarity distributions. Then, recognition of two actions becomes a problem of matching two time-order distributions which can be very effectively solved by comparing their KL distance via a dynamic programming scheme. ó 2015 Elsevier Inc. All rights reserved. 1. Introduction The analysis of human body movements can be applied in a variety of application domains, such as video surveillance, video context retrieval, human–computer interaction systems, an

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