摘要
针对智能交通领域汽车类型识别的应用背景,利用单目视觉开发了基于计算机视觉车辆类型识别系统;论述了单目视觉原理及特征提取的关键技术,利用不变矩及不变矩矢量在图像平移、旋转及比例变换时保持不变的特性,以其作为主要特征实现车辆类型有效识别。试验结果表明,该技术可以实现车辆类型的自动、快速和准确分类。
Based on the application of vehicle type recognition in intelligent traffic fields, a vehicle type recognition system based on computer was developed, adopting the technique of monocular vision. The key techniques of monocular vision and feature ex- traction were discussed. The recognition of vehicle type is achieved by applying invariant moment and invariant moment vector, which keep invariant when the image is in different position, orientation and scale. It has been tested that the system can recognize vehicle types automatically and accurately in a quick way.
出处
《武汉理工大学学报（信息与管理工程版）》
CAS
2007年第4期7-10,共4页
Journal of Wuhan University of Technology：Information & Management Engineering
基金
吉林省自然科学基金资助项目(20030531-1)
教育部博士点基金资助项目(20030183032)
关键词
智能交通
计算机视觉
不变矩
不变矩矢量
车辆类型识别
intelligent traffic
computer vision
invariant moments
invariant moment vector
vehicle type recognition
作者简介
翟乃斌（1978-），男，山东莱芜人，吉林大学交通学院博士研究生．
