A Camera Placement Method Based On Genetic Algorithm For Shipborne Video Surveillance System

2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT) Pub Date : 2019-01-01 DOI:10.1109/ICEICT.2019.8846343

Yang Xuefeng, Zhang Yingjun, Liu Wen

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Abstract

Camera placement is very important for any video surveillance system, which could influence the performance of the whole system and the design of surveillance algorithms. The optimization model of camera placement is constructed by this paper. In this model, we attempt to maximize cameras’ coverage area which meets the requirement of surveillance quality within the surveillance area, when the number of cameras is fixed. Meanwhile, we proposed the solving algorithm for the shipborne multi-camera placement optimization model based on genetic algorithm. At last two experiments about shipborne multi-camera placement were introduced to verify the optimization model and the solving algorithm. The result indicates that the method for shipborne multi-camera placement can give the precise camera placement scheme, which contains every camera’s installation site, yaw angle, pitch angel, and the coverage of these cameras, and improve the performance of the whole shipborne video surveillance system.

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基于遗传算法的舰载视频监控系统摄像机放置方法

摄像机的位置对任何视频监控系统来说都是非常重要的，它直接影响到整个系统的性能和监控算法的设计。建立了摄像机放置的优化模型。在该模型中，当摄像机数量固定时，我们试图在监控区域内使满足监控质量要求的摄像机覆盖面积最大化。同时，提出了基于遗传算法的舰载多摄像头放置优化模型的求解算法。最后介绍了两个舰载多摄像机放置实验，验证了优化模型和求解算法。结果表明，该方法能够给出包含各摄像机安装位置、偏航角、俯仰角以及摄像机覆盖范围的精确摄像机放置方案，提高了整个舰载视频监控系统的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT)

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