光流算法比较分析研究  

Comparative analysis of optical flow algorithms

作　　者：张佳威[1] 支瑞峰 

机构地区：[1]北方工业大学智能交通实验室,北京100144 [2]天水供电公司,甘肃天水741000

出　　处：《现代电子技术》2013年第13期39-42,共4页Modern Electronics Technique

基　　金：国家863计划资助项目(2012AA112401)

摘　　要：运动目标检测是计算机视觉中重要的课题,运动目标的正确检测与正确分割影响着后续目标的跟踪与识别;光流法是运动目标检测和分析的重要方法,它能够在不知道任何预先场景情况下检测出独立的运动目标,并且可适用于动态场景的情况。首先介绍了光流的基本概念,然后介绍了常用的光流的四种算法;接着以智能交通中路口车辆视频为例,将这四种光流算法用于车辆检测,然后对四种光流算法的优缺点进行分析;最后对光流法在未来可能研究及改进的方向提出展望。Moving object detection is currently one of the most active subjects in the domain of computer vision. Moving object detection and segmentation influence tracking and classification of the follow-up objects. Optical flow algorithm is an important method for moving object detection and analysis. It can detect the independent moving object in unknown scene and dynamic scene. The basic concept of optical flow is introduced in this paper at first and then the four common optical flow algorithms, which are applied to detection of vehicles at the crossroads in intelligent transportation video. The advantages and disadvantages of the four optical flow algorithms are analyzed while possible researches and modified direction prospect of the optical flow algorithms are proposed at the end.

关 键 词：光流算法 车辆检测 智能交通 计算机视觉 

分 类 号：TN911.734[电子电信—通信与信息系统]