复杂背景下车辆跟踪的改进算法及逆行检测

The Improved Algorithm for Vehicle Tracking and Retrograde Motion Detection under the Complicated Background

针对复杂背景下车辆跟踪准确率低的情况,提出了一种改进的算法,采用多边形车辆跟踪窗口和更准确的预测搜索区域,进行多特征匹配车辆的跟踪算法,并应用于道路的车辆逆行检测。实验结果表明,该算法在满足实时性和稳定性的前提下,提高了车辆跟踪的准确率。

To solve the problem of low vehicle tracking accuracy of traditional algorithms in complex background, an improved method is proposed in this paper. It exploits vehicle tracking polygon window and more exact prediction of search area to realize multiple feature matching vehicle tracking, which is applied to detect vehicles retrograde motion. The experimental results show that the algorithm has higher vehicle tracking accuracy while satisfying the need of real-time and stability requirement than traditional ones.