交通管理应用中基于摄像机的无线网络的可靠视场覆盖

C. Istin, D. Pescaru, H. Ciocarlie, D. Curiac, A. Doboli
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引用次数: 9

摘要

提出了一种利用无线网络实现交通监控摄像机实时分布式图像采集的新方法。目标是在动态干扰存在的情况下提供全面的图像采集,这些干扰会阻碍相机的视野(FOV)。本文提出了一种协同在线算法,该算法在视场损失时确定一组优化的摄像机,这些摄像机必须打开以弥补视场损失。本文还利用一种新的成本函数找到了该集合,并进行了讨论。实验结果验证了该方法对恢复视场损失的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliable Field of View Coverage in Video-Camera based Wireless Networks for Traffic Management Applications
This paper proposes a new method for real-time distributed image acquisition through wireless networks of traffic monitoring cameras. The goal is to provide comprehensive image acquisition in the presence of dynamic disturbances, which obstruct the field of view (FOV) of the cameras. The paper presents a collaborative online algorithm, which (upon FOV loss) identifies an optimized set of cameras that must be turned on to cover the FOV loss. The set is found using a novel cost function, also discussed in the paper. Experimental results are offered to illustrate the effectiveness of the method in recovering the lost FOV.
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