摘要
通过对车型识别以及图像预处理技术的介绍,而提出的一种基于Gabor变换和隐马尔可夫模型的车型识别方法及相关算法,经实践表明,具有识别率高、复杂度较低的优点,能够适应复杂环境下特征车辆的识别,因而具有广阔的发展前景。
By introducing the vehicle recognition and image preprocessing technology, a new method of vehicle recognition and related algorithm are presented based on Gabor wavelets transform and hidden Markov model. As is proved, this method will be widely used because it has higher recognition rate and lower complexity than other methods, and can recognize vehicles features in complex conditions.
出处
《交通标准化》
2008年第4期66-70,共5页
Communications Standardization
基金
基于GSM的基础交通信息采集系统关键技术研究(CSTC2007AC6036)
城市道路交通信息检测技术基础研究(CSTC2007BB6425)
机动车尾气排放物智能定位采集系统研究(CSTC2006BB2417)
