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针对像机观测方向和观测区域受限的特点,结合人眼感知概率模型,建立了一种基于观测可靠度的像机观测模型.依据Johnson准则,综合考虑了像机距目标的观测距离、观测角度和目标大小等因素,不仅可以确定目标的存在与否,还可以全面描述像机对目标的观测性能,更加符合像机对目标感知的实际情况.在此基础上定义了多个像机对目标的观测可靠度,及像机网络对目标的捕获概率,提出了基于像机观测可靠度模型的多像机网络覆盖优化部署算法.仿真结果表明,利用新的像机观测可靠度模型对网络进行优化,可以在提高多像机网络对观测区域的覆盖程度的同时,优化网络对场景的感知能力,提高对目标的捕获概率.
According to the characteristics of observing area and limited observing area, a camera observation model based on observational reliability was established based on the perception probability model of human eyes.According to the Johnson criterion, the observing distance Angle and size of the target, we can not only determine the existence of the target, but also fully describe the observational performance of the camera on the target, which is more in line with the actual situation of the camera on the target. Based on this definition of multiple camera pairs The reliability of the target and the probability of capturing the target by the camera network, a multi-camera network coverage optimization deployment algorithm based on the camera observation reliability model is proposed. The simulation results show that using the new camera reliability model to estimate the network Optimizing can improve the coverage of observation area by multi-camera network, optimize the perception ability of the network to the scene and improve the probability of capturing the target.