东南大学学报（英文版）2008，Vol.24Issue(4)：522-527,6.
基于MPEG压缩域的高速公路车辆检测方法
Vehicle detection method for expressway by MPEG compressed domain
摘要
Abstract
A method which extracts traffic information from an MPEG-2 compressed video is proposed. According to the features of vehicle motion, the motion vector of a macro-block is used to detect moving vehicles in daytime, and a filter algorithm for removing noises of motion vectors is given. As the brightness of the headlights is higher than that of the background in night images, discrete cosine transform (DCT)coefficient of image block is used to detect headlights of vehicles at night, and an algorithm for calculating the DCT coefficients of P-frames is introduced. In order to prevent moving objects outside the expressway and video shot changes from disturbing the detection, a driveway location method and a video-shot-change detection algorithm are suggested. The detection rate is 97.4% in daytime and 95.4% in nighttime by this method. The results prove that this vehicle detection method is effective.关键词
车辆检测/压缩域/DCT系数/运动矢量Key words
vehicle detection/compressed domain/discrete cosine transform (DCT) coefficient/motion vector分类
信息技术与安全科学引用本文复制引用
何铁军,张宁,高朝晖,黄卫..基于MPEG压缩域的高速公路车辆检测方法[J].东南大学学报（英文版）,2008,24(4):522-527,6.基金项目
The Cultivation Fund of the Key Scientific and Techni-cal Innovation Project of Higher Education of Ministry of Education( No. 705020), the Natural Science Foundation of Jiangsu Province (No. BK2004077). （ No. 705020）
