Multi-object tracking via MHT with multiple information fusion in surveillance video
Ying, Long; Zhang, Tianzhu; Xu, Changsheng
2015-06-01
发表期刊MULTIMEDIA SYSTEMS
卷号21期号:3页码:313-326
文章类型Article
摘要Tracking multiple objects is critical to automatic video content analysis and virtual reality. The major problem is how to solve data association problem when ambiguous measurements are caused by objects in close proximity. To tackle this problem, we propose a multiple information fusion-based multiple hypotheses tracking algorithm integrated with appearance feature, local motion pattern feature and repulsion-inertia model for multi-object tracking. Appearance model based on HSV-local binary patterns histogram and local motion pattern based on optical flow are adopted to describe objects. A likelihood calculation framework is proposed to incorporate the similarities of appearance, dynamic process and local motion pattern. To consider the changes in appearance and motion pattern over time, we make use of an effective template updating strategy for each object. In addition, a repulsioninertia model is adopted to explore more useful information from ambiguous detections. Experimental results show that the proposed approach generates better trajectories with less missing objects and identity switches.
关键词Multi-object Tracking Data Association Mht Multiple Information Fusion
WOS标题词Science & Technology ; Technology
关键词[WOS]ALGORITHM ; ASSOCIATION ; MODEL
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号WOS:000355813200008
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/7931
专题模式识别国家重点实验室_多媒体计算与图形学
作者单位Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
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GB/T 7714
Ying, Long,Zhang, Tianzhu,Xu, Changsheng. Multi-object tracking via MHT with multiple information fusion in surveillance video[J]. MULTIMEDIA SYSTEMS,2015,21(3):313-326.
APA Ying, Long,Zhang, Tianzhu,&Xu, Changsheng.(2015).Multi-object tracking via MHT with multiple information fusion in surveillance video.MULTIMEDIA SYSTEMS,21(3),313-326.
MLA Ying, Long,et al."Multi-object tracking via MHT with multiple information fusion in surveillance video".MULTIMEDIA SYSTEMS 21.3(2015):313-326.
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