摘要
提出一种基于WLAN无线局域网的车辆移动视频快速识别系统架构,由AP连接周边的无线网络终端,形成星形网络结构,使整个无线网的终端都能获得实时视频,从而克服了有线监控系统不可移动以及系统难以扩展、不易设置和维护等缺点,为在偏远和复杂道路环境下监控实施带来了极大方便。同时,将Boosting算法应用在动态车型图像检测中,仿真实验表明大大提高了对运动过程中车辆的识别监测能力、改变了传统车型识别方式,对智能交通系统的发展起着积极的推动作用。
A WLAN-based quick recognition video system of mobile vehicles is put forward. In this system, the wireless network terminals around connect to the APs to form a star-shaped network structure so that the whole wireless network terminals get access to real-time videos. It is superior to the wired monitoring system, which cannot be used in mobile system, difficult to expand, set up and maintain and brings great convenience to monitoring system in remote areas and complex road environment. At the same time, Boosting method is applied to detecting dynamic algorithm model image. It differs from the traditional vehicle model recognition, which has greatly improved the recognizing and monitoring function of mobile vehicles and plays a positive role in promoting the development of intelligent transportation system.
出处
《微型电脑应用》
2009年第8期7-8,11,共3页
Microcomputer Applications
基金
陕西省教育厅专项科研计划项目(05JK191)
渭南师范学院科研基金资助项目(09YKS010)
关键词
无线局域网
识别率
分类器
车型识别
Wireless local area network
Recognition rate
Classifier
Vehicle model identification
