一种基于虚拟力的视频摄像头优化布置方法

An optimizing layout method of video cameras in large space based on virtual force

为了提高视频摄像头网络的覆盖率,首先在传统虚拟力方法的基础上,给出了未覆盖区域对摄像头探测扇形区域几何中心引力的定义;然后,将视频摄像头网络总覆盖率作为目标函数,建立了有障碍情况下探测盲区节点的判别数学表达式。由于迭代优化过程与总覆盖率直接关联,克服了迭代优化过程不易收敛的难题,有效地提高了视频摄像头网络的探测效率。实验证明:所提出的视频摄像头优化布置方法能够有效地提高大空间有遮挡物情况下的视频监测覆盖率,对于大空间视频监控、视频火灾探测中的摄像头优化布置提供了一种有效的计算方法,具有一定的工程实用价值。

In order to improve the coverage of video cameras network, based on the traditional virtual force method, the center gravitational force of the uncoverage nodes to the camera detecting areas is defined firstly, then, the total coverage of the video cameras network is applied as the objective function to establish the discriminate mathematical expression of the blind spot node in the case of obstacles. Besides, the iterative optimization process is directly linked with the total coverage, which overcomes the difficult problem of iterative optimization process, and effectively improves the detection efficiency of the video cameras network. Experiments show that the proposed video cameras optimizing method can effectively improve the coverage of video cameras network in large space with obstacles, and provide an effective method for the optimization of cameras in video surveillance and video fire detection, thus showing a practical engineering value.