一种基于Kalman滤波器的运动目标检测和跟踪算法（A moving object detection and tracking algorithm based on Kalman filter）.docVIP

一种基于Kalman滤波器的运动目标检测和跟踪算法（A moving object detection and tracking algorithm based on Kalman filter） This article is contributed by shelihuang section technique theory altar A moving object detection and tracking algorithm based on Kalman filter A pick Hao Xie (School of electrical and electronic engineering, North China Electric Power University, Hebei, Baoding 071003) The detection and tracking of moving objects in video or image sequences has become one of the most important directions in the field of computer vision. In this paper, moving object detection in video sequences is implemented The moving target is detected and optimized by the background subtraction method and the interframe difference method. Kalman filter is a recursive filtering method used in time domain method of minimum mean square error estimation for system state, this paper presents the implementation method of centroid motion tracking using a Kalman filter, a state to make accurate predictions of the moving target, get good tracking effect. Keywords: target detection; target tracking; Kalman filter; centroid tracking 1 overview in the video moving target detection and target tracking technology is widely used in real-time monitoring system, intelligent traffic management system and the military target tracking and other fields, is an important research direction in modern image processing. Moving object detection ([1]) is an important branch of image processing and computer vision. It is also the focus of theoretical and practical research in recent years. At present, the commonly used moving target detection methods are background subtraction method [2], difference method [3], optical flow method. In this paper, the background difference method and frame difference method were studied. The test results are given and the main research methods are: moving target tracking gate with optimization. Optical flow, Kalman filtering, tracking, active contour tracking, [4], trace, template matching, tr