公共安全图像与视频一键式质量增强与运动分析视频稳定化关键技术
毕业论文关键词：视频稳像，运动估计，运动补偿，光流法
Title Public Security Image and Video Quality Enhancement and Motion Analysis: the Key Technology of Video Stabilization
Abstract Due to the bad environment and the reason of the equipment, images and videos acquired from public security areas could appear jitter. The project mainly handles the low quality of the video shaking. The paper mainly studies the core technology of video stabilization and the content researches the fast and robust optical flow method, which is based on optical flow and multi-scale processing of video stabilization algorithms, and finally software is implemented. In this paper reviewed the related situation of video stabilization at home and abroad, summarizing the key technology of video image, consists of two key parts: global motion estimation and motion compensation. (1) In the global motion estimation stage find the method of feature points is studied, the pyramid Lucas-Kanade sparse optical flow algorithm for motion estimation, and calculate the global motion vector between the frames. (2) In the Motion compensation phase mainly using the motion vector addition to separate the global motion vector, isolated the normal scan motion of camera and random jitter, using the motion compensation vector to correct the current frame. The experimental results show that this method can effectively eliminate the video shaking. This paper developed digital image stabilization system based on OpenCV, focus on the digital image stabilization. The experiment showed that the instability of the video for different scenarios, this paper studies the digital image system can effectively eliminate the video shaking. Keywords:Video Stabilization,Motion Estimation,Motion Compensation,Optical Flow
目次
1 绪论 · 1
1.1 研究的目的与意义 1
1.2 视频稳像国内外研究现状 2
1.3 研究内容 2
1.4 论文结构 3
2 视频稳像算法理论 4
2.1 视频稳像算法的基本原理 4
2.2 参数化运动变换数学模型 5
2.3 全局运动估计 5
2.3.1 寻找特征点 · 6
2.3.2 Lucas-Kanade 稀疏光流法 · 7
2.3.3 金字塔 Lucas-Kanade光流法 · 8
2.4 运动补偿 10
2.4.1 求解单应性矩阵 · 11