视觉动态目标识别研究进展  

Progress in the Study of Vision-based Dynamic Object Recognition

作　　者：徐成[1] 鲍泓[1] 张璐璐[1] 刘伟[1] 

机构地区：[1]北京联合大学 北京市信息服务工程重点实验室,北京100101

出　　处：《北京联合大学学报》2013年第4期24-29,共6页Journal of Beijing Union University

基　　金：国家自然科学基金项目(61271370);北京市创新团队项目(CIT&TCD20130513)

摘　　要：近年来,基于计算机视觉的动态目标识别的研究和应用逐渐成为热点问题,通过介绍国内外基于计算机视觉的动态目标检测、确认、定位等领域的研究进展,展望目标识别的发展趋势。首先介绍目标识别过程中的典型方法,然后对基于计算机视觉的动态目标识别算法进行分类,接着对各种方法中采用的不同算法技术进行阐述,并分别介绍了各类别中具有代表性的算法及其优缺点,最后就动态目标识别领域的研究难点及发展趋势进行了简要论述。The research and application of dynamic target recognition based on computer visual is becoming popular in recent years. This article introduces the development of research on the detection, identification, and positioning of dynamic target based on computer vision in domestic and abroad, and looks into the future development of target recognition. Firstly it shows the typical method of target recognition process, and then classifies the algorithm of dynamic target recognition based on computer vision, and then describes the different algorithms used in a variety of ways as well as the representative algorithms of each class and their advantages and disadvantages, and finally it gives a brief discussion about the difficulties and trends in the field of dynamic target recognition.

关 键 词：计算机视觉 动态目标识别 定位跟踪 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]