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Multiple Object Tracking Via Species-Based Particle Swarm Optimization

文献类型：期刊论文

作者Zhang, Xiaoqin1,2; Hu, Weiming3; Qu, Wei4; Maybank, Steve5
刊名IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
出版日期2010-11-01
卷号20期号:11页码:1590-1602
关键词Multiple object tracking particle swarm optimization
英文摘要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.
WOS标题词Science & Technology ; Technology
类目[WOS]Engineering, Electrical & Electronic
研究领域[WOS]Engineering
关键词[WOS]PEOPLE
收录类别SCI
语种英语
WOS记录号WOS:000283952100018
源URL[http://ir.ia.ac.cn/handle/173211/3251]  
专题自动化研究所_模式识别国家重点实验室_视频内容安全团队
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
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.

入库方式： OAI收割

来源：自动化研究所

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