CAJ | 학술논문

　　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。
　　운동목표검측시계산궤시각중중요적과제，운동목표적정학검측여정학분할영향착후속목표적근종여식별；광류법시운동목표검측화분석적중요방법，타능구재불지도임하예선장경정황하검측출독립적운동목표，병차가괄용우동태장경적정황。수선개소료광류적기본개념，연후개소료상용적광류적사충산법；접착이지능교통중로구차량시빈위례，장저사충광류산법용우차량검측，연후대사충광류산법적우결점진행분석；최후대광류법재미래가능연구급개진적방향제출전망。
Moving object detection is currently one of the most active subjects in the domain of computer vision. Moving ob?ject detection and segmentation influence tracking and classification of the follow?up objects. Optical flow algorithm is an impor?tant method for moving object detection and analysis. It can detect the independent moving object in unknown scene and dynam?ic 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 algo?rithms are proposed at the end.