An Improved Moving Target Detecting and Tracking Based On Optical Flow Technique and Kalman Filter
Optical Flow is a well known method for motion estimation and explanation. We can use it to detect and track the moving target, as it always reflects to the motion field of the captured scene in the image. In this paper, we first propose an improved optical flow method which is based on the technology of point matching and the strategy of uniform sampling. Then the goal of detecting and tracking moving target is achieved efficiently by the proposed method in the graying flow field. Especially, the detecting and tracking are improved due to the introduction of Kalman filter. Experiments show that, the calculation speed of our proposed method is relatively high and our approach can successfully detect and track moving targets in a real time.
Optical Flow Moving Target Detecting Moving Target Tracking Kalman Filter
Yuqiang Fang Bin Dai
College of Electromechanical Engineering and Automation National University of Defense Technology Changsha, PR China
国际会议
第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)
南京
英文
1197-1202
2009-07-25（万方平台首次上网日期，不代表论文的发表时间）