视频序列中运动对象分割方法的设计与实现

视频序列中运动对象分割方法的设计与实现[1][repaste]

2009-03-23 09:36

转自：/2008/07/video-sequence.html

The technology of multimedia correspondence developed quickly. After the standard MPEG-1 and MPEG-2, a new standard named MPEG-4 was put forward by the MPEG committee. The key technical of the standard is the standard is the Video Object Segmented from the video frame. The results of object segmentation will affect subsequent applications directly. At the present time, there is no current method, which can segment object models from the background efficiently, though a great deal of research work has been done for video coding. Most algorithms aim at particular image sequences. The video segmentation has been widely applied in many fields, especially in low bite-rate ratio multimedia fields, so it is more and more becoming the hot point in the video research field.

This paper discusses the basic theory of digital image segmentation, and then analyzes the exist method for the segmentation of moving objects in video sequences. At last an effective moving object segmentation algorithm is used. First, the moving regions are obtained by the intersections of two neighbor difference images, and then small regions that are not accurate are removed. Finally, the moving regions are

filled using the method of mathematical morphology. This arithmetic makes use of the functions of the library effectively, improves precision and efficiency of computation, and has a good property for the application to multi-platform. Experimental result shows that the algorithm can get satisfactory result.

Key words: Image segmentation, Frame difference, video sequence, moving object, mathematical morphology

目录

摘要 I

ABSTRACT II

第一章绪论 1

1.1 研究背景与意义 1

1.2 国内外研究状况 3

1.3论文内容与结构安排 4

第二章典型的图像分割方法 6

2.1阈值法与边缘检测法 6

2.1.1阈值法 6

2.1.2边缘检测法 7

2.2基于形态学的静止图像分割 9

第三章视频图像序列中运动对象分割算法 12

3.1基于运动的分割技术 12

3.1.1运动估计与运动补偿 12

3.1.2 运动区域的分类 13

3.1.3 典型的基于运动的分割算法 14

3.2时空分割算法 15

3.2.1时域分割 16

3.2.2空域分割 16

3.2.3时空联合分割 16

第四章视频序列中运动对象分割的设计与实现 18

4.1分割算法 18

4.1.1 算法流程 18

4.1.2 预处理 18

4.1.3 获取帧差模板 19

4.1.4 二次帧差 19

4.1.5二值帧差模板的求取与形态学处理 20

4.2开发平台 21

4.2.1 VC开发环境 21

4.2.2 OpenCV介绍 21

4.2.3 VC6.0下OpenCV的安装与配置 21

4.4 各功能模块介绍与实现 24

4.4.1 系统主窗口 24

4.4.2 窗体的创建与销毁 24

4.4.3视频获取 25

4.4.4基于连续帧间差分法的运动对象分割的组成方案 26

4.4.5基于背景差分法的运动对象分割的组成方案 28

4.4.6 实验测试 30

第五章总结 32

结束语 34

参考文献 35

附录 36

摘要

随着多媒体通信技术的快速发展，MPEG组织在继MPGE-1和MPGE-2后又提出了MPGE-4的标准。这种MPEG标准是基于对象的编解码技术。其中视频对象(VO)的分割和提取是其关键部分。其分割效果的好坏将直接影响后续的视频应用。尽管人们对基于对象的视频编解码做了大量的研究工作，但到目前为止，还没有一种通用的方法能够有效地将物体模型从景物中分割出来，大部分的算法都是针对具体的应用。视频对象分割在许多领域有着很广泛的应用，其中在低比特率下的多媒体领域应用更是与日俱增，因此逐渐成为当前视频研究领域的热点之一。