摘要
在以IT技术和生物技术为主流科技的知识经济时代,身份的鉴定有了来自生物体自身的密匙,横跨这两大科技领域的生物特征识别技术正愈益显示出其旺盛的生命力和远大前景。其中对运动目标的视觉分析是生物识别的重要内容之一,它在虚拟现实、视觉监控、感知接口中均有广泛的应用。本文介绍视觉分析中图像序列的检测,分类,跟踪,识别,并回顾运动分析目前的发展水平和常用的处理方法。
The biometrics character recognition across the information technology and biometrics technology domains has become more important in this knowledge economy age. Visual analysis of motion is currently one of the active research topics in the domain of biometrics recognition. This interest is driven by a wide spectrum of promising applications in many areas such as virtual reality, smart surveillance, perceptual user interface. Motion analysis aims at attempting to detect, track and identify people from image sequences. This paper provides a comprehensive survey on recent developments of motion analysis, and it keeps up with the latest research.
出处
《成都电子机械高等专科学校学报》
2005年第3期19-22,共4页
Journal of Chengdu Electromechanical College
关键词
运动视觉分析
生物识别
运动检测
目标分类
跟踪
Motion- visual analysis Biometrics recognition Motion detecting Object assorting Tracking