复杂行车环境下基于视频的目标跟踪算法

在复杂行车环境下，如果视频中只有目标和背景时，C-V模型可以取得很好的分割效果，然而需要从复杂背景中提取目标信息时，该模型往往无法得到正确的结果。针对这一问题，C-V模型与均值平移算法能很好的解决。并且该文结合图形处理算法，根据车辆轮胎的数目，得出车辆相应的情况。

A Target Tracking Algorithm Based on Video under Complex Driving Environment

In complex traffic environment,if only the target and the background in video,the C-V model can obtain good segmentation results.Howeverwhen we need to extract target information from complex background,the model is often unable to get the correct results.To solve this problem,the C-V model and Mean-Shift technique can well solve.And combining with the image processing algorithm,according to the number of vehicle tires,we can get the corresponding information of cars.