[1]罗瑾,许杰.基于车道线交点的车载视频稳像算法[J].计算机技术与发展,2013,(03):1-4.
　LUO Jin,XU Jie.A Vehicle Borne Video Stabilization Method Based on Lane Intersection[J].,2013,(03):1-4.
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基于车道线交点的车载视频稳像算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年03期
页码:
1-4
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
A Vehicle Borne Video Stabilization Method Based on Lane Intersection
文章编号:
1673-629X（2013）03-0001-04
作者:
罗瑾; 许杰
四川大学 计算机学院
Author(s):
LUO Jin; XU Jie
关键词:
数字稳像; hough变换; 特征匹配; 图像分割; 运动估计; 运动补偿
Keywords:
digital image stabilization; hough transform; feature matching; image segmentation; motion estimation; motion compensation
文献标志码:
A
摘要:
针对车辆在行驶时摄像机所拍摄图像的晃动问题,包括平移以及旋转抖动,文章提出了一种新型的以高速公路车道线以及其交叉点构成的三角形作为图像特征的数字稳像方法.首先依据车载视频图像中车道线的分布特征,对待处理图像进行分割,以及图像边缘信息进行加强,然后再进行图像特征的提取构造.有效提高了算法的精度并且减少了计算量.实验表明,基于车道线特征的数字稳像算法具有更高的稳定性,并且很少受到天气、过往车辆等外部因素的影响
Abstract:
According to the vehicle in the road taken camera image sloshing problems,including translation and rotation jitter,present a digital image stabilization method for mobile video surveillance based on a lane line and its intersection points of a triangle formed. Ac-cording to lane distribution of the image,make image segmentation first,intensify the edge information of image,then extract and con-struct the image feature. It can effectively enhance the accuracy and reduce the computation. The experiment proves that this method is more effective and rarely affected by weather,passing vehicles and other external factors

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更新日期/Last Update: 1900-01-01