视频传感器区域覆盖算法

Video Sensor Area Coverage Algorithm

摘要: 视频传感器是一种广泛应用于各类突发事件感知的重要传感器，对保障城市经济和社会的高速发展起到突出作用。为了最大程度地提高视频传感器的覆盖率，根据摄像机的有向感知特性，提出一种基于改进人工蜂群优化的视频传感器监控区域增强算法。该算法受粒子群算法的启发引入全局最优值，改进人工蜂群的搜索策略，提高其开采能力和收敛速度，并利用反向学习思想产生新蜜源替换最差蜜源。结果表明，改进算法能够有效提高监控区域的覆盖率，其性能优于传统方法。

Abstract: Video sensor is an important sensor widely used in all kinds of emergency perception, which plays a prominent role in ensuring the rapid development of urban economy and society. To improve the coverage of video sensor networks, a novel artificial bee colony based on video sensor network monitoring area enhancement algorithm was proposed according to the directional sensing features of Pan-Tilt-Zoom (PTZ) cameras. Inspired by particle swarm optimization (PSO), the algorithm introduces the global optimal value, improves the search strategy of artificial bee colony, improves its mining ability and convergence speed, and uses the idea of reverse learning to generate a new honey source to replace the worst honey source. The results show that the improved algorithm can effectively improve the coverage of the monitoring area, and its performance is better than the traditional methods.