文献类型：会议论文

英文题名：A Method of Detect Traffic Police in Complex Scenes

作者：Zheng, Ying[1];Bao, Hong[1];Xu, Xinkai[2];Ma, Nan[3];Zhao, JiaLei[4];Luo, Dawei[1]

通讯作者：Bao, H[1]

机构：[1]Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing, Peoples R China;[2]Beijing Union Univ, Demonstrat Ctr Expt Teaching Comprehens Engn, Beijing, Peoples R China;[3]Beijing Union Univ, Coll Robot, Beijing, Peoples R China;[4]Hubei Univ Nationalities, Coll Informat Engn, Enshi, Peoples R China

第一机构：北京联合大学北京市信息服务工程重点实验室

通讯机构：[1]corresponding author), Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing, Peoples R China.|[11417103]北京联合大学北京市信息服务工程重点实验室;[11417]北京联合大学;

会议论文集：14th International Conference on Computational Intelligence and Security (CIS)

会议日期：NOV 16-19, 2018

会议地点：Hangzhou, PEOPLES R CHINA

语种：英文

外文关键词：YOLO network; traffic police detection; transfer learning; machine vision

摘要：Target detection has a wide range of applications in many areas of life, and it is also a research hotspot in the field of unmanned driving. Urban roads are complex and changeable, especially at intersections, which have always been a difficult and key part in the research of pilotless technology. Traffic policemen detection at intersections is a key link, but there are few existing algorithms, and the detection speed is generally slow. Aiming at this problem, this paper proposes a real-time detection method of traffic police based on YOLOv3 network.The YOLO network is robust and capable of quickly completing target detection tasks. According to the information investigated, there are currently few data sets on traffic police detection. In response to this problem, this paper adopts the transfer learning method, adopts the imageNet set to training model, learns the basic characteristics of people, and then selects 1000 pictures containing traffic police to conduct experiments. The average accuracy of traffic police detection is 77%, and the detection speed reaches 45FPS, which basically meets the requirements of real-time performance, indicating that the method is reasonable and feasible.