摘要
运动目标检测是机器视觉领域中的一个非常重要的研究课题,它为运动目标识别、运动跟踪等复杂的处理过程奠定了基础。运动目标检测的任务是识别特定区域内目标的物理运动。近年来,运动目标检测技术已经被应用到视频监控、人体运动分析、机器人导航、智能交通系统等领域,越来越受到人们的重视。文中将传统的运动目标检测算法做了简要的分类,并且总结了近年来该领域的最新研究成果,指出了这些方法的优势和局限性。
Moving target detection is a very important topic in the field of machine vision. It is the basis for the complex process of moving object recognition and tracking. The task of moving target detection is identifying the physical movement of the target in a particular area. In recent years, moving target detection technology is applied to the field of video surveillance,human motion analysis,robot navigation, intelligent transportation systems. In this paper, the classical moving target detection algorithms are classified,and the latest research results in this field are summarized. The advantages and limitations of these methods are pointed out.
作者
慈文彦
CI Wen-yan(Nanjing Normal University Taizhou College,Taizhou 225300,Jiangsu Province,China)
出处
《信息技术》
2016年第12期93-96,100,共5页
Information Technology
基金
南京师范大学泰州学院院级科研项目(Q201240)
关键词
机器视觉
运动目标
检测
综述
machine vision
moving target
detection
review
