计算机工程Issue(9)：210-214,5.DOI:10.3969/j.issn.1000-3428.2014.09.042
一种基于HOG-LBP的高效车辆检测方法
A Method of Efficient Vehicle Detection Based on HOG-LBP
摘要
Abstract
According to the feature erroneous inspection that consists in vehicle detection,this paper proposes a vehicle detection method based on the fusion shape and texture characteristics in analysis of the error reason. It calculates the Histogram of Oriented Gradient ( HOG ) feature and the unified Local Binary Pattern ( LBP ) operator for all cell in detection window,solves the problem of high dimension characteristic and redundancy by Principal Component Analysis ( PCA) in the browser window and texture characteristics-forming process. Combined with the Support Vector Machine ( SVM) ,it does the feature training and test experiment. Experimental results show that this method juggles both sides of the shape and texture characteristics in vehicle image effectively,significantly reduces the error probability of the vehicle detection when meets the detection speed,gets good effect both in efficiency and accuracy.关键词
车辆检测/误检/方向梯度直方图/局部二进制模式/主成分分析/支持向量机Key words
vehicle detection/erroneous inspection/Histogram of Oriented Gradient ( HOG )/Local Binary Pattern ( LBP)/Principal Component Analysis( PCA)/Support Vector Machine( SVM)分类
信息技术与安全科学引用本文复制引用
杨先凤,杨燕..一种基于HOG-LBP的高效车辆检测方法[J].计算机工程,2014,(9):210-214,5.基金项目
四川省应用基础研究计划基金资助项目(2011JY0060)。 （2011JY0060）
