Research on Method for Counting Number of People Getting Off Bus from Video Camera Movie with Deep learning

Abstract

In Japan, the number of bus users is decreasing due to the nationwide increase in automobile use, population decrease in rural areas, and outflow of population to the three major metropolitan areas. In response, bus companies are planning efficient bus routes by leveraging data such as the number of passengers. Thus, mechanical passenger counting technology has garnered attention for improving work efficiency and reducing labor, and various methods have been proposed for installing such devices inside buses. However, if facilities and organizations other than bus companies wish to use these data and onboard counting methods, they must pay significant financial charges to the bus companies. Therefore, in this study, we developed a deep-learning-based method for counting the number of passengers disembarking from buses using video camera images acquired at bus stops. Through demonstration experiments, we highlighted the usefulness of the proposed method and identified areas for improvement.