Single Shot MultiBox Detector for Vehicles and Pedestrians Detection and Classification

摘要：

　　In recent years,with the rapid development of national economy and the acceleration of urbanization,the road traffic environment has become more and more complex,and the safety and security of peoples daily travel are paid more and more attention.Its worthy to detect vehicles and pedestrians by using deep learning algorithm.In this paper,a method using the Single Shot MultiBox Detector to detect vehicles and pedestrians is introduced and compared with the others.Furthermore,the development of vehicle and pedestrian detection in the field of deep learning is discussed.

作者: Qiong WU Sheng-bin LIAO

作者单位: National Engineering Research Center For E-Learning of Central China Normal University,Lane 152,Luoyu Road,Hongshan District,Wuhan,China

会议类型: 国际会议

会议名称: The 2017 2nd International Seminar on Applied Physics, Optoelectronics and Photonics (APOP 2017) (2017年第二届应用物理、光电子学和光子学国际研讨会)

会议地点: 上海

会议语种:英文

页码: 22-28

在线出版日期: 2017-12-30（万方平台首次上网日期，不代表论文的发表时间）