根据夜间运动车辆识别中存在的无法提取有效的车辆特征，提出了一种改进后的模糊约束满足的夜间运动车辆分类方法。
According to vehicle characteristics can not be extracted at night, a vehicle classification method based on improved fuzzy constraint satisfaction approach is proposed.
智能交通系统中的交通检测与信息采集已经成为计算机视觉技术应用的一项重要课题，而运动车辆的自动检测、阴影去除、识别与跟踪则是其中最基础的部分。
The application of computer vision technology to traffic detecting and information collecting is an important subject in ITS, and moving vehicle detecting, recognition and tracking is the basic part.
通过检测道路上的运动目标并利用目标的运动信息和外形特征进行车辆识别。
Firstly, moving objects on the roadway are detected. Then, the vehicles are recognized based on their motion information and shape characteristics.
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