新的像机观测可靠度模型

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. 

Novel camera observing reliability model

For camera observing ability was constrained by its view angle and scene structure, a novel camera observing reliability model was studied based on people's eye sensing ability model. According to Johnson's rule, observing distance, view angle and target size were considered synthetically in this model, and this model was more consistent with the true circumstance, as it could determine whether a target was in its field of view, as well as whether the target was observed from a better view. Multi-camera observing reliability and target capture rate were defined on this basis, and an optimized camera deployment algorithm was investigated. Simulation results show that more detailed scene information can be obtained by this method. The scene coverage rate and target capture rate were greatly improved.