基于视频传感器网络的目标跟踪模型研究

Research on target tracking model in video sensor networks

提出了一种基于视频传感器网络的模型,其核心思想是通过视频节点和非视频节点相互协作建立模型,对目标进行探测、跟踪和定位。在探测和跟踪阶段,通过非视频节点对目标进行探测。目标在移动过程中,由非视频节点实时地跟踪目标大致的移动方向和位置;在定位阶段,由视频节点完成对目标准确定位。仿真结果表明,在节点随机部署的情况下,该模型可以有效地实现对目标区域的全覆盖,通过非视频节点和视频节点的相互协作,发挥了非视频节点对目标探测和跟踪的优势,以及视频节点对目标准确定位特性。

An effective model based on video sensor networks is proposed.The main idea is to establish a detecting and tracking model by using video sensor and non-video sensor mutual cooperation.During the detecting and tracking stage,non-video sensors detect the target and monitor the target mobility in real time,including direction and location.In the location stage,video sensors determine the accurate information of the target.Our simulation results demonstrate that the proposed model can effectively achieve full coverage of the target area under the scenarios that nodes are randomly deployed.The proposed model shows great advantages of using non-video sensor in target detection and tracking.Video sensors enhance the accuracy of target location through the collaboration between the non-video sensor and video sensor.