Multi-object tracking via MHT with multiple information fusion in surveillance video

	Multi-object tracking via MHT with multiple information fusion in surveillance video
	Ying, Long; Zhang, Tianzhu; Xu, Changsheng
发表期刊	MULTIMEDIA SYSTEMS
	2015-06-01
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	被引频次：15[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/7931
专题	多模态人工智能系统全国重点实验室_多媒体计算
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 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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