The two color systems hsv and hls are used for two reasons . firstly , they have advantages over the traditional method in using the ratio of the color components as separate images of the same scenes so that they can avoid linear correlation to color components 本文选用hsv和hls两种常用颜色模型计算彩色时变图像的光流场，实验结果表明该方法能得到相当精确的瞬时位置速度且适用于各种运动。
Considering the weakness of the optic flow approach , we give an improved object detection and segmentation method in the moving background case . afterwards , two practical factors , which bring negative effects , are discussed in detail : lighting variation and camera dithering 在对静止背景情况充分研究的基础上，本文着重分析了基于光流估计的运动背景目标检测和分割方法，并对光流估计精度不高时的目标检测和分割提出改进方案。
Secondly , they accord with human vision since the two color systems not only have been developed for users but also can represent the color characteristics . this dissertation integrates two ways of visual motion analysis by using the corner points as feature points and estimating optical flow from image sequence 本文还综合视觉运动分析中的两类处理方法，提出了一种基于特征和基于光流场相结合的光流场算法，把图像中的角点作为特征点。
In this paper , we have researched the algorithm for calculating the optical flow based on color images , and have especially discussed the optical flow estimation techniques based on the feature lines . the paper also addresses 3 - d recovery of an object from the optical flow fields of the feature lines 本文主要研究基于彩色时变图像的光流计算理论和方法，重点研究基于直线的光流计算，并在此基础上研究从光流场确定三维空间物体的结构和运动。
