电子学报2017，Vol.45Issue(1)：173-180,8.DOI:10.3969/j.issn.0372-2112.2017.01.024
基于子块运动补偿的运动目标检测
Moving Object Detection Based on Sub-Block Motion Compensation
摘要
Abstract
With its wide-angle imaging and information richness,the fish-eye camera has a brilliant prospect in application.This paper presents a moving object detection method for on-board monocular fish-eye cameras.Firstly,a sub-block motion compensation model is proposed to compensate image background motion,which solves the ineffective strong parallax scene compensation problem.Secondly,when it comes to solve the parameters of sub-block motion compensation model,ego-vehicle motion parameters are introduced to simplify the number of model parameters,and the direct method is used to avoid the problem that the traditional feature-point-based matching method is susceptible to mismatching feature points.Then for the image distortion problem,this paper proposes a three-plane rectification method to obtain sub-block motion compensation images.Finally,the moving object detection is realized using the difference between sub-block motion compensation images and captured images.Experimental results show the effectiveness of the proposed method.关键词
运动目标检测/子块运动补偿/单目视觉/鱼眼相机Key words
moving object detection/sub-block motion compensation/monocular vision/fish-eye camera分类
信息技术与安全科学引用本文复制引用
于红绯,刘威,袁淮,赵宏..基于子块运动补偿的运动目标检测[J].电子学报,2017,45(1):173-180,8.基金项目
国家自然科学基金(No.61273239) （No.61273239）
