运动行人的检测与跟踪技术已经成为智能视频监控中的关键性技术，是计算机视觉领域研究的一个重要领域。传统的视频监控技术应用虽然广泛，但是智能性不足、应用效率较低。针对摄像头固定情况下的运动行人跟踪进行研究，引入一种应用效果较好的Mean Shift算法，与目标区域灰度直方图结合，进行运动目标的检测跟踪，在Visual Studio 2010和OpenCV 2.4.4中对本算法进行仿真，从仿真结果中得出系统可以较好地实现对运动行人的检测与跟踪。
Research on the Mean Shift Algorithm in the Moving Target Detection and Tracking
Motion pedestrian detection and tracking technology has become crucial in intelligent video surveillance technology, is an important area of research in computer vision. Although the traditional video surveillance technology are widely used , but less intelligent, less applica-tion efficiency. Aims at the tracking study of the movement of pedestrians in case of a fixed camera, introduces a better application of Mean Shift algorithm, combined with target area gray histogram , moving target detection and tracking, the simulation results obtained from the Visual Studio 2010 and OpenCV 2.4.4 can achieve better movement of pedestrian detection and tracking.
NETL
NSTL
万方数据
维普
