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一种基于特征跟踪的图像稳定方法
引用本文:朱玉文,王俊,贾云得.一种基于特征跟踪的图像稳定方法[J].北京理工大学学报,2003,23(5):596-600.
作者姓名:朱玉文  王俊  贾云得
作者单位:北京理工大学,信息科学技术学院计算机科学工程系,北京,100081
基金项目:国家自然科学基金;K60075005;
摘    要:根据摄像机透视投影模型,通过提取特征点进行摄像机的运动估计,提出一种基于FMA(frame—to—mosaic algorithm)的补偿方法,该方法针对图像连续帧间晃动幅度较大的情况,通过均值滤波合成当前帧及其前几帧的运动进行补偿,实验结果表明该方法有较好的稳定效果,而且能够做到实时处理。

关 键 词:图像稳定  摄像机稳定  特征跟踪  运动估计  运动补偿
文章编号:1001-0645(2003)05-0596-05
收稿时间:2002/9/17 0:00:00
修稿时间:2002年9月17日

A Feature-Tracking Based Method for Image Stabilization
ZHU Yu wen,WANG Jun and JIA Yunde.A Feature-Tracking Based Method for Image Stabilization[J].Journal of Beijing Institute of Technology(Natural Science Edition),2003,23(5):596-600.
Authors:ZHU Yu wen  WANG Jun and JIA Yunde
Institution:Department of Computer Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Computer Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Computer Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China
Abstract:A motion model is presented to estimate the motion parameters for image stabilization by tracking feature points from consecutive frames. A frame to mosaic algorithm (FMA) for motion compensation is described. The proposed algorithm is able to compensate the motion by fusing the motion of the current frame with that of the previous frames. Experimental results show its effective and potential applications.
Keywords:image stabilization  camera stabilization  feature tracking  motion estimation  motion compensation
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