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Adaptive fusion of particle filtering and spatio-temporal motion energy for human tracking
Zhou, Huiyu1; Fei, Minrui2; Sadka, Abdul3; Zhang, Yi4; Li, Xuelong5
作者部门光学影像学习与分析中心
2014-11-01
发表期刊PATTERN RECOGNITION
ISSN0031-3203
卷号47期号:11页码:3552-3567
产权排序5
摘要

Object tracking is an active research area nowadays due to its importance in human computer interface, teleconferencing and video surveillance. However, reliable tracking of objects in the presence of occlusions, pose and illumination changes is still a challenging topic. In this paper, we introduce a novel tracking approach that fuses two cues namely colour and spatio-temporal motion energy within a particle filter based framework. We conduct a measure of coherent motion over two image frames, which reveals the spatio-temporal dynamics of the target. At the same time, the importance of both colour and motion energy cues is determined in the stage of reliability evaluation. This determination helps maintain the performance of the tracking system against abrupt appearance changes. Experimental results demonstrate that the proposed method outperforms the other state of the art techniques in the used test datasets. (C) 2014 Elsevier Ltd. All rights reserved.

文章类型Article
关键词Computer Vision Object Tracking Occlusion Colour Motion Energy
WOS标题词Science & Technology ; Technology
DOI10.1016/j.patcog.2014.05.006
收录类别SCI ; EI
关键词[WOS]VISUAL TRACKING ; MEAN SHIFT ; FEATURES ; RECOGNITION ; FRAMEWORK ; TARGETS ; OBJECTS ; INTEGRATION ; ALGORITHM ; SELECTION
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000340335600006
引用统计
被引频次:24[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/22288
专题光谱成像技术研究室
作者单位1.Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast BT3 9DT, Antrim, North Ireland
2.Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200041, Peoples R China
3.Brunel Univ, Sch Engn & Design, Uxbridge UB8 3PH, Middx, England
4.Chongqing Univ Post & Telecommun, Inst Automat, Chongqing, Peoples R China
5.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714
Zhou, Huiyu,Fei, Minrui,Sadka, Abdul,et al. Adaptive fusion of particle filtering and spatio-temporal motion energy for human tracking[J]. PATTERN RECOGNITION,2014,47(11):3552-3567.
APA Zhou, Huiyu,Fei, Minrui,Sadka, Abdul,Zhang, Yi,&Li, Xuelong.(2014).Adaptive fusion of particle filtering and spatio-temporal motion energy for human tracking.PATTERN RECOGNITION,47(11),3552-3567.
MLA Zhou, Huiyu,et al."Adaptive fusion of particle filtering and spatio-temporal motion energy for human tracking".PATTERN RECOGNITION 47.11(2014):3552-3567.
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