计算机技术与发展Issue(9)：227-229,233,4.DOI:10.3969/j.issn.1673-629X.2013.09.057
基于Adaboost算法的车辆轮胎检测研究与实现
Research and Realization on Vehicle Tire Detecting Based on Adaboost Algorithm
摘要
Abstract
In order to undertake classification statistic to the traffic stream of space interval efficiently,it can be realized by measuring the wheelbase. A detection method of the tire identification based on Adaboost algorithm was proposed,using the OpenCV visual library on the vehicle images taken by the camera. The basic idea is to establish the vehicle tire samples and the cascade classifier,then to detect the vehicle tire from the video screenshots which taken by the camera with the strong classifier after training. Calculating the distance parame-ter by the detection results and obtaining the wheelbase to determine its models are the final steps. By analyzing the tire patterns detected, it is found that there is a high missing rate and false rate. Finally,the detection accuracy rating can be improved significantly by adjusting the sample structure.关键词
轴距/Adaboost算法/OpenCV/轮胎检测Key words
wheelbase/Adaboost algorithm/OpenCV/tire detection分类
信息技术与安全科学引用本文复制引用
胡顾飞,严毅..基于Adaboost算法的车辆轮胎检测研究与实现[J].计算机技术与发展,2013,(9):227-229,233,4.基金项目
安徽省自然科学基金(1208085QF123) （1208085QF123）
安徽省高等学校自然科学基金(KJ2012Z084) （KJ2012Z084）
