复杂背景下车辆跟踪的改进算法及逆行检测

图学学报

复杂背景下车辆跟踪的改进算法及逆行检测

出版日期:2013-08-30 发布日期:2015-06-18

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

Online:2013-08-30 Published:2015-06-18

摘要/Abstract

摘要： 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。

关键词: 车辆跟踪, 多特征匹配, 复杂背景

Abstract: 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.

Key words: vehicle tracking, multiple feature matching, complex background

郭锋，王秉政，杨晨晖. 复杂背景下车辆跟踪的改进算法及逆行检测[J]. 图学学报.

Guo Feng, Wang Bingzheng, Yang Chenhui. The Improved Algorithm for Vehicle Tracking and Retrograde Motion Detection under the Complicated Background[J]. Journal of Graphics.