Multiple Object Tracking Via Species-Based Particle Swarm Optimization

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	Multiple Object Tracking Via Species-Based Particle Swarm Optimization
	Zhang, Xiaoqin 1,2; Hu, Weiming3 ; Qu, Wei 4; Maybank, Steve 5
发表期刊	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
	2010-11-01
卷号	20 期号:11 页码:1590-1602
文章类型	Article
摘要	Multiple object tracking is particularly challenging when many objects with similar appearances occlude one another. Most existing approaches concatenate the states of different objects, view the multi-object tracking as a joint motion estimation problem and search for the best state of the joint motion in a rather high dimensional space. However, this centralized framework suffers from a high computational load. We bring a new view to the tracking problem from a swarm intelligence perspective. In analogy with the foraging behavior of bird flocks, we propose a species-based particle swarm optimization algorithm for multiple object tracking, in which the global swarm is divided into many species according to the number of objects, and each species searches for its object and maintains track of it. The interaction between different objects is modeled as species competition and repulsion, and the occlusion relationship is implicitly deduced from the "power" of each species, which is a function of the image observations. Therefore, our approach decentralizes the joint tracker to a set of individual trackers, each of which tries to maximize its visual evidence. Experimental results demonstrate the efficiency and effectiveness of our method.
关键词	Multiple Object Tracking Particle Swarm Optimization
WOS标题词	Science & Technology ; Technology
关键词[WOS]	PEOPLE
收录类别	SCI
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000283952100018
引用统计	被引频次：65[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/173211/3251
专题	多模态人工智能系统全国重点实验室_视频内容安全
作者单位	1.Wenzhou Univ, Coll Math & Informat Sci, Wenzhou 325035, Zhejiang, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100864, Peoples R China 3.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 4.Chinese Acad Sci, Sch Informat Sci & Engn, Beijing 100190, Peoples R China 5.Birkbeck Coll, Sch Comp Sci & Informat Syst, London WC1E 7HX, England
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	Zhang, Xiaoqin,Hu, Weiming,Qu, Wei,et al. Multiple Object Tracking Via Species-Based Particle Swarm Optimization[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2010,20(11):1590-1602.
APA	Zhang, Xiaoqin,Hu, Weiming,Qu, Wei,&Maybank, Steve.(2010).Multiple Object Tracking Via Species-Based Particle Swarm Optimization.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,20(11),1590-1602.
MLA	Zhang, Xiaoqin,et al."Multiple Object Tracking Via Species-Based Particle Swarm Optimization".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 20.11(2010):1590-1602.