Afterwards , to decrease noise which is brought by complex background , the method of morphological filter is used . planar velocity field in the moving area can be estimated through optical flow analysis 在第一步检测的基础上,应用经过了部分改进的光流场算法,比较精确地提取出运动目标,并计算出目标的速度大小和方向。
A linear method is derived to determine 3d structure and motion using corner point optical flow . the method has advantages over the traditional methods in algorithm . some experiments are designed to validate the linear method 在3d运动和结构重建方面，本文改进了基于光流场计算3d运动和结构的线性算法，通过光流运动模型的建立，推导出由角点光流场重建3d物体运动和结构的线性算法。
Second , a feature based matching method is presented , which is based on the area based matching method . this feature based matching method can be used to track feature points so that a new method of computing the optical flow field is presented 进一步,本文将该区域匹配算法改进为特征点匹配算法,并将该技术用于序列图像中的特征点跟踪问题,提出了一种针对移动机器人的光流场计算方法。
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。
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。
First , the dsp board calculates optical flows ( the velocity field of an image ) based on the gradient method . next , the region of the moving object on the image is extracted from the optical flows using knowledge about the region of the object , such as region - merge arithmetic , region - connection arithmetic or clustering arithmetic . finally , the camera is controlled to keep the object in its field of view 我们建立了一个基于tms320c6701的dsps系统，首先求解出基于梯度方法的光流场(原始图像的速度场) ，然后根据区域合并、区域连通或聚类算法等方法从光流场中抽取出运动目标区域，并计算出运动目标的速度矢量，进而通过云台装置控制摄像头的转动，使得运动目标始终位于摄像机的视野中，从而完成对复杂背景中单个运动目标的实时跟踪。
In chapter 4 , we discuss the method of vos abstraction based on temporal segmentation in detail . first we put forward affine modal , which is a kind of 3 - d motion modal of rigid body , compensate global motion vector based on this modal , and get the changed detection mask ( cdm ) . then we introduce the conception of optical flow field , compute the local 首先构建三维刚体运动的模型，提出一种计算模型的全局运动矢量的方法，并进行全局运动补偿、变化检测模板提取和连通域标记等步骤，然后引入光流场的概念，并介绍其计算原理和方法，用horn - schunck迭代法计算图像中各点的局部运动矢量，并据此对变化检测模板的结果进一步提取，获得时域上分割的信息。
Global motion can be modeled by a few parameters will be stated in chapter 2 . in chapter two are given the system structure and key technologies of global estimation and compensation , describing several possible details of each key technology . global motion parameters estimated using regression technique which first estimate the local motion and then uses the local information to find the global motion that minimize the least square error 并重点研究了一种基于回归分析的图像全局运动估计与补偿技术,它首先利用光流场法估计局部图像背景点的速度场,然后利用鲁棒的叠代排除法估计图像传感器的全局运动模型参数,再利用估计出来的全局运动参数对图像进行双线性内插运动补偿。
We propose a simple and fast scheme to detect moving object in complex background which is the combination of inter - frame difference , morphologi - cal filter and optical flow field . it ' s simple and fast to detect moving object using inter - frame difference . however , it ' s lack of precision and moving information 在众多的运动目标检侧算法中,我们将帧间差值法、数学形态学方法、光流场方法加以结合,提出了一个简单快速的复杂背景下多目标运动区域检测与分割算法。
