Bayes Network Based Collaborating Control Algorithm in Active Multicamera Network with Applications to Object Tracking
Joint Authors
Zhao, Cairong
Wei, Zhihua
Miao, Duoqian
Wu, Yan
Zhao, Rui
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-02-20
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Intelligent video surveillance network has many practical applications such as human tracking, vehicle tracking, and event detection.
In this paper, an active multicamera network framework is designed for human detection and tracking by optimizing the cameras collaborating control.
A multicamera collaborating control algorithm is proposed based on Bayes network to minimize the number of PTZ cameras with control and optimize the cameras' field of view.
Hybrid human local feature transform selected by AdaBoost algorithm is adopted to improve the tracking precision.
Experimental results on real world environment indicate the effectiveness and efficiency of proposed framework and algorithm.
American Psychological Association (APA)
Zhao, Rui& Wei, Zhihua& Wu, Yan& Zhao, Cairong& Miao, Duoqian. 2014. Bayes Network Based Collaborating Control Algorithm in Active Multicamera Network with Applications to Object Tracking. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-455592
Modern Language Association (MLA)
Zhao, Rui…[et al.]. Bayes Network Based Collaborating Control Algorithm in Active Multicamera Network with Applications to Object Tracking. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-455592
American Medical Association (AMA)
Zhao, Rui& Wei, Zhihua& Wu, Yan& Zhao, Cairong& Miao, Duoqian. Bayes Network Based Collaborating Control Algorithm in Active Multicamera Network with Applications to Object Tracking. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-455592
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-455592