A Technology for Automatically Counting Bus Passenger Based on YOLOv2 and MIL Algorithm

Abstract

The bus passenger data are very important for urban bus dispatching management. When passengers get on or off the bus, they often hide from each other. It is a great challenge for automatically accounting passengers through camera. The traditionally video-based target detection algorithm or target tracking algorithm is difficult to accurately count the number of passenger on and off. In this paper, the YOLOv2 algorithm is combined with the MIL tracker so as to real-time account the number of passengers in the bus surveillance video. Experiment shows that the accuracy rate of bus passenger statistics proposed in this paper reaches over 99%, and it proves that our method has good real-time and high accuracy.