一种监控摄像机网络-路网覆盖优化调度方法

A Road Network Coverage Optimization Method in Surveillance Camera Network

针对监控摄像机网络-路网的覆盖优化问题,提出了一种面向多优化目标的摄像机网络调度优化方法。该方法根据摄像机的感知特性,通过引入主光轴缓冲区系数来划分摄像机主光轴方向的活动范围,进而动态控制摄像机的调度规模及对特定摄像机、路段的覆盖应用偏好,并利用粒子群优化算法对路段覆盖数量、路网覆盖长度和摄像机调度数量等多个优化目标进行协同优化。实验结果表明,该方法具有较好的有效性和鲁棒性,同时考虑多个覆盖优化目标时,其可以提供摄像机网络的调度优化方案集合。

As for the issue of coverage optimization of camera network and directional road network,a multi-objective coverage scheduling optimization method of camera network is proposed.Based on the sensing characteristics of cameras,the proposed method introduces the buffer parameter of main optical axis to divide the range of main optical axis,so as to control the scheduling number of cameras and the preference of specific camera and road section.Particle swarm optimization algorithm is used to optimize multiple coverage optimization objectives collaboratively,including the number of road sections covered,the length of road network covered and the number of cameras participating in scheduling.The experiment results demonstrate that the method can support multi-objective scheduling optimization and configuration of a camera network with good effectiveness and robustness.