基于YOLOv4的车辆检测与流量统计研究

Research on Vehicle Detection and Traffic Statistics Based on YOLOv4

基于深度学习算法,对智能交通中的车辆检测与流量统计问题进行探讨与解决。首先对YOLOv4算法进行介绍;然后使用YOLOv4算法进行实地的流量检测;之后选取统计区域,对视频中的car、bus、motorbike和truck四种类型事物进行流量统计;最后对实验结果的偏差进行了分析,并对重复识别现象提出了改进方案。该算法能基本满足车辆检测和流量统计的实时性和精度的要求。

Based on the deep learning algorithm,this paper discusses and solves the problems of vehicle detection and traffic statistics in intelligent transportation.Firstly,the YOLOv4 algorithm is introduced;then the traffic detection is carried out by using the YOLOv4 algorithm;then the traffic statistics of car,bus,motorbike and truck in the video is carried out by selecting the statistical area;finally,the deviation of the experimental results is analyzed,and the improvement scheme for the phenomenon of repeated recognition is proposed.The algorithm can basically meet the requirements of real-time and accuracy of vehicle detection and traffic statistics.