一种优化的运动目标检测与跟踪算法

An Optimized Algorithm for Moving Object Detection and Tracking

在摄像头固定不动的情况下,为准确对视频序列中运动目标的位置进行跟踪,提出一种优化的运动目标检测与跟踪算法。将中值滤波处理后的待检测图像和背景图像做差得到背景差分图像,对其进行阈值分割与形态学处理提取出运动区域。确定运动目标的位置后采用基于颜色特征的粒子滤波算法对目标进行跟踪。实验结果表明,论文的运动目标检测与跟踪算法可以稳定、准确地对运动目标进行检测和跟踪,具有一定的鲁棒性。

In order to accurately track the moving object in video sequences when the camera is fixed,this paper proposes an optimized algorithm for moving object detection and tracking. Subtract the background image from the image to be detected after the median filtering is applied to them,background difference image is obtained. By the way of carrying out threshold segmentation and morphological processing of background difference image,the moving region is extracted. After the location of moving object is determined,the particle filter algorithm based on color feature is used to track the object. The experimental results show that the moving object detection and tracking algorithm proposed in this paper can detect and track the moving object accurately and stably,and it has a certain robustness.