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为了解决复杂背景下运动点目标的检测和跟踪问题,本文提出了一种基于图像差分和聚类的运动目标检测和跟踪算法.该算法首先根据图像配准的方法,对序列图像进行差分运算,提取出候选的运动目标.在此基础上,利用运动目标在空间和时间上的相关性以及运动目标的轨迹所具有的连续性,采用一种特殊的聚类方法,从噪声环境中正确检测出运动目标的轨迹,并实现对运动目标的跟踪.实验表明该算法能快速检测出复杂背景下的运动点目标,并能有效处理轨迹相交和检测过程中出现新目标的情况.
In order to solve the problem of detection and tracking of moving-point targets in complex background, this paper proposes a moving-object detection and tracking algorithm based on image difference and clustering.Firstly, according to the method of image registration, Based on which the correlation between the moving object in space and time and the continuity of the trajectory of the moving object are utilized, and a special clustering method is adopted to correctly detect the moving object from the noisy environment And track the moving target.Experiments show that the algorithm can quickly detect the moving-point target in the complex background and can effectively deal with the situation where the trajectory intersects and a new target appears in the detection process.