CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 先进机器人
Multiple-Object Tracking in Large-Scale Scene
Yuan, Wenbo; Cao, Zhiqiang; Tan, Min; Chen, Hongkai
Source PublicationIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
2016-07-01
VolumeE99DIssue:7Pages:1903-1909
SubtypeArticle
AbstractIn this paper, a multiple-object tracking approach in large-scale scene is proposed based on visual sensor network. Firstly, the object detection is carried out by extracting the HOG features. Then, object tracking is performed based on an improved particle filter method. On the one hand, a kind of temporal and spatial dynamic model is designed to improve the tracking precision. On the other hand, the cumulative error generated from evaluating particles is eliminated through an appearance model. In addition, losses of the tracking will be incurred for several reasons, such as occlusion, scene switching and leaving. When the object is in the scene under monitoring by visual sensor network again, object tracking will continue through object re-identification. Finally, continuous multiple-object tracking in large-scale scene is implemented. A database is established by collecting data through the visual sensor network. Then the performances of object tracking and object re-identification are tested. The effectiveness of the proposed multiple-object tracking approach is verified.
KeywordVisual Sensor Network Hog Improved Particle Filter Re-identification Object Tracking
WOS HeadingsScience & Technology ; Technology
DOI10.1587/transinf.2015EDP7481
WOS KeywordPARTICLE FILTERS
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61273352) ; Beijing Natural Science Foundation(4161002) ; 863 Program of China(2015AA042307) ; Open Foundation of the State Key Laboratory of Management and Control for Complex Systems, CASIA(20130101 ; 20140107)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering
WOS IDWOS:000381562700017
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12652
Collection复杂系统管理与控制国家重点实验室_先进机器人
AffiliationChinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Yuan, Wenbo,Cao, Zhiqiang,Tan, Min,et al. Multiple-Object Tracking in Large-Scale Scene[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2016,E99D(7):1903-1909.
APA Yuan, Wenbo,Cao, Zhiqiang,Tan, Min,&Chen, Hongkai.(2016).Multiple-Object Tracking in Large-Scale Scene.IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,E99D(7),1903-1909.
MLA Yuan, Wenbo,et al."Multiple-Object Tracking in Large-Scale Scene".IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E99D.7(2016):1903-1909.
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