The Study of Vehicle Detection and Identification in Intelligent Transportation System

摘要：

With video detection technology as the core,this paper designed and implemented vehicle detection and identification in intelligent transportation system.The hardware design consisted of video capture module,video transmission module and image processing module;The software design primarily included motion detection,shadow segmentation,edge detection, feature extraction and vehicle classification.In the vehicle detection and identification algorithm,applied fusion concept and attempted to design a linear classifier with perceptive gradient descent method to identify vehicles.The experimental results validated that the methods used in this paper obtained good effect,and got a high recognition rate.

关键词： video detection identification fusion perceptive gradient decent

作者: Fang-lv Dongmei-Han

作者单位: College of Information Engineering Inner Mongolia University of Technology Hohhot, China

会议类型: 国际会议

会议名称: 2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)

会议地点: 长沙

会议语种:英文

页码: 208-211

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）