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Bayes Network Based Collaborating Control Algorithm in Active Multicamera Network with Applications to Object Tracking

机译：主动多摄像机网络中基于贝叶斯网络的协同控制算法及其在目标跟踪中的应用

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摘要

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.
机译：智能视频监控网络具有许多实际应用，例如人员跟踪，车辆跟踪和事件检测。本文通过优化摄像机的协同控制，设计了一种主动的多摄像机网络框架，用于人体检测和跟踪。提出了一种基于贝叶斯网络的多摄像机协同控制算法，以最大限度地减少带控制的PTZ摄像机数量，并优化摄像机的视场。采用由AdaBoost算法选择的混合人类局部特征变换来提高跟踪精度。在实际环境中的实验结果表明了所提出的框架和算法的有效性和效率。

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  • 来源
    《Mathematical Problems in Engineering》 |2014年第3期|219367.1-219367.8|共8页
  • 作者

    Rui Zhao; Zhihua Wei; Yan Wu; Cairong Zhao; Duoqian Miao;

  • 作者单位

    Department of Computer Science and Technology, Tongji University, Shanghai 201804, China,The Third Research Institute of the Ministry of Public Security, Shanghai 201204, China;

    Department of Computer Science and Technology, Tongji University, Shanghai 201804, China,Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 201804, China;

    Department of Computer Science and Technology, Tongji University, Shanghai 201804, China,Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 201804, China;

    Department of Computer Science and Technology, Tongji University, Shanghai 201804, China,Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 201804, China;

    Department of Computer Science and Technology, Tongji University, Shanghai 201804, China,Key Laboratory of Embedded System and Service Computing, Ministry of Education, Tongji University, Shanghai 201804, China;

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