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基于改进Mean Shift算法的实时视频目标跟踪
引用本文:胡波.基于改进Mean Shift算法的实时视频目标跟踪[J].光子学报,2014,0(4):461-465.
作者姓名:胡波
作者单位:1. 浙江东方职业技术学院 工程技术系, 浙江 温州 325011;2. 宁波大学 信息科学与工程学院, 浙江 宁波 315211
基金项目:国家自然科学基金(No.60971074)资助
摘    要:设计了一套嵌入式平台上实现的视频目标跟踪系统.该系统采用CMOS图像传感器获取视频信号,利用Z228多媒体芯片自带的ARM9处理器完成视频信号的控制,并通过MPEG-4硬件编码器实现视频信号的压缩.用Mean Shift算法跟踪运动目标,针对其收敛的局限性设置多个搜索点来提高其跟踪效果.通过减少采样点和标记已计算点来提高代码运行速度,增强了跟踪的实时性.实验结果表明,本系统能以27 fps速率连续稳定地实现视频目标的跟踪.

关 键 词:嵌入式  视频目标跟踪  图像传感器  Mean  Shift算法  实时
收稿时间:2011-07-13

Real-time Video Target Tracking Based on Improved Mean Shift Arithmetic
HU Bo.Real-time Video Target Tracking Based on Improved Mean Shift Arithmetic[J].Acta Photonica Sinica,2014,0(4):461-465.
Authors:HU Bo
Institution:1. Department of Engineering Technology, Zhejiang Dongfang Vocational and Technical College, Wenzhou, Zhejiang 325011, China;2. Faculty of Information Science and Engineering, Ningbo University, Ningbo, Zhejiang 315211, China
Abstract:A video target tracking system is designed which is achieved in the embedded platform. The system acquires video signal by using CMOS image sensor, controls video signal in ARM9 processor which is obtained in Z228 multimedia chip, and compresses video signal through MPEG-4 hardware encoder. Meanwhile, the Mean Shift arithmetic is used to track moving target. Considering the convergence limitation, multiple search point is set to improve the tracking results. The operating speed of code is raised through decreasing sampling point and labeling computed points, thus the tracking instantaneity is enhanced. The experiment results indicate that this system can achieve video target tracking continually and steadily at the speed is 27 fps.
Keywords:Embedded  Video target tracking  Image sensor  Mean Shift arithmetic  Real-time
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