A Coarse-to-fine Approach for Vehicles Detection from Aerial Images

摘要：

　　Vehicles detection in aerial images has a wide range of applications for visual surveillance.This paper introduces a framework for robust on-road vehicle detection.A passively trained framework system is built using conventional supervised learning.The strategy which is proposed for detecting vehicles is From-coarse-to-fine.In the first step, Road is segmented with LSD algorithm to narrow the area which will be detected.AdaBoost based algorithm is used for coarse detection.SVM is used to reduce false rates.Experimental results show that this framework yields a efficient and robust on-board vehicle detection system with high precision and low false rates.

关键词： vehicles Detecting adaboost SVM LSD

作者: Long Chen Zhiguo Jiang Junli Yang Yibing Ma

作者单位: Beijing Key Laboratory of Digital Media School of Astronautics, Beihang University Beijing, China

会议类型: 国际会议

会议名称: 2012年遥感中的计算机视觉国际会议

会议地点: 厦门

会议语种:英文

页码: 1-5

在线出版日期: 2012-12-16（万方平台首次上网日期，不代表论文的发表时间）