Night Vehicle Detection Using Variable Haar-Like Feature  

作　　者：Jae-do KIM Sang-hee KIM Young-joon HAN Hern-soo HAHN 

机构地区：[1]Dept. of Electronic Engineering, Soongsil University, Seoul 156-743, Korea [2]Metabuild Co., Seoul, Korea

出　　处：《Journal of Measurement Science and Instrumentation》2011年第4期337-340,共4页测试科学与仪器（英文版）

基　　金：supported by the MKE(The Ministry of Knowledge Economy),Korea,under the ITRC(Infor mation Technology Research Center)support program supervised by the NIPA(National IT Industry Promotion Agency)(NIPA-2011-C1090-1121-0010);by the Brain Korea 21 Project in2011

摘　　要：This paper proposes a night-time vehicle detection method using variable Haar-like feature.The specific features of front vehicle cannot be obtained in road image at night-time because of light reflection and ambient light,and it is also difficult to define optimal brightness and color of rear lamp according to road conditions.In comparison,the difference of vehicle region and road surface is more robust for road illumination environment.Thus,we select the candidates of vehicles by analysing the difference,and verify the candidates using those brightness and complexity to detect vehicle correctly.The feature of brightness difference is detected using variable horizontal Haar-like mask according to vehicle size in the location of image.And the region occurring rapid change is selected as the candidate.The proposed method is evaluated by testing on the various real road conditions.

关 键 词：vehicle detection variable Haar-like feature brightness distribution analysis 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]