首先把图像序列中相对静止的部分提取出来作为背景，利用差分图像对道路上的运动物体进行分割，并在此基础上实现对每条车道上的车辆的跟踪。
Firstly the relatively static proportion of the video was extracted and the moving objects were segmented using differencing image algorithm. Then vehicles were tracked in divided road lanes.
通过运动区域检测、噪声去除、连通单元标记、目标提取、阴影检测等处理，能获取完整的车辆目标区域。
By the process of moving area detection, yawp elimination, object detection based on connected region label, shadow elimination, the whole vehicle targets area is obtained.
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.
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