基于视频的车辆检测与跟踪算法综述

Survey on Video Based Vehicle Detection and Tracking Algorithms

首先介绍了交通检测系统,指出视频交通检测技术日益成为计算机视觉领域中备受关注的前沿方向。在此基础上,分别讨论了常用的车辆检测算法,基于模型的车辆检测算法,车辆跟踪的基本类型,以及基于模板匹配、卡尔曼滤波和粒子滤波的车辆跟踪算法,同时分析比较了各种算法的优缺点。最后,展望了这一领域未来研究的热点。

The traffic detection system is introduced first ,and it is pointed out that the video based traffic detection technique is increasingly becoming the most active research topics in the field of computer vision. Then various algorithms are discussed respectively, such as the commonly used vehicle detection algorithms, the model based vehicle detection algorithms, the basic types of vehicle tracking, as well as the template matching, Kalman filtering and Particle filtering based vehicle tracking algorithms. The advantages and disadvantages of various algorithms are compared in detail. Finally, the hot spots for future research in this area are presented.