计算机应用与软件2016，Vol.33Issue(12)：136-139,4.DOI:10.3969/j.issn.1000-386x.2016.12.033
一种新颖的基于轨迹分析和类型识别的车流量统计方法
A NOVEL TRAFFIC FLOW STATISTIC METHOD BASED ON TRACK ANALYSIS AND VEHICLE RECOGNITION
摘要
Abstract
After analyzing the existed traffic flow statistic methods,a novel flow statistic method based on track analysis and vehicle recognition is proposed.In this proposed method,the moving objects are first extracted out from the video and a collection is used to save these tracks and moving objects,then the support vector machine is utilized to learn the real vehicle tracks and objects.Finally,the real number of tracks and vehicles can be got by means of the classifiers of support vector machine.The experiments show that the proposed method is able to keep higher accuracy and better robustness under different environments.关键词
车流量统计/支持向量机/轨迹分析/车辆识别Key words
Traffic flow statistic/Support vector machine/Track analysis/Vehicle recognition分类
信息技术与安全科学引用本文复制引用
白天,许晓珑,丁箐,叶勇,石竹..一种新颖的基于轨迹分析和类型识别的车流量统计方法[J].计算机应用与软件,2016,33(12):136-139,4.基金项目
福建省交通运输科技发展项目（201431）。 （）
