首页 | 本学科首页   官方微博 | 高级检索  
     

视觉跟踪技术研究现状及其展望*
引用本文:李谷全,陈忠泽.视觉跟踪技术研究现状及其展望*[J].计算机应用研究,2010,27(8):2814-2821.
作者姓名:李谷全  陈忠泽
作者单位:南华大学,电子信息工程系,湖南,衡阳,421001
基金项目:湖南省自然科学基金资助项目(09JJ6096);湖南省科技计划资助项目(2007FJ4154)
摘    要:对运动目标进行视觉跟踪是机器人技术、计算机视觉等领域研究的热点之一。首先就跟踪技术的研究历史和现状进行回顾和分析,论述按照基于目标区域的跟踪、基于目标特征的跟踪、基于变形模板的跟踪和基于目标模型的跟踪四个分支分别展开;其次,对人们在该领域研究所面临的难点进行了归纳和总结;最后对分形理论和生物视觉在跟踪策略中的应用前景进行了展望。

关 键 词:视觉跟踪    运动目标    跟踪策略

Research on tracking visually moving target:status and future directions
LI Gu-quan,CHEN Zhong-ze.Research on tracking visually moving target:status and future directions[J].Application Research of Computers,2010,27(8):2814-2821.
Authors:LI Gu-quan  CHEN Zhong-ze
Affiliation:(Dept. of Electronic & Information Engineering, University of South China, Hengyang Hunan 421001, China)
Abstract:Researches on tracking visually moving target have already become the focus in the field of robotics and computer vision. Firstly, this paper reviewed and analysed the state of the art about visual tracking technology. And according to differences in tracking strategy, classified into four types, i.e. region-based tracking, features-based tracking, template-based tracking, and model-based tracking. Then, discussed difficulties may be encountered by researchers in dealing with tracking strategies. At last, shortly addressed some future directions of tracking technology and stated the roles that fractal theory and biological vision might act as in future visual tracking systems.
Keywords:visual tracking  moving target  tracking strategies
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《计算机应用研究》浏览原始摘要信息
点击此处可从《计算机应用研究》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号