A Survey: Crowds Detection Method on Public Transportation
Darren Anando Leone, Handry Novianto, Ruben Setiawan, Timothy Gilbert, Novita Hanafiah · 2021
Face recognition is a computer technology being used in a variety of applications that identifies human faces in digital images. At this time, face recognition can be used to find out how crowded a public transport is. Face recognition can be used to calculate how many people are in a public transport. Nowadays, we have been assisted by the existence of Closed-Circuit Television (CCTV). The video, images from the CCTV footage can be used to detect crowds in a public transport. Our aim in making this paper is to compare which method is most suitable for use in detecting crowds in a public transport. The writer used various different research papers in the period of 2015–2021. From our analysis, there are many methods that can be used to check the crowd in a public transport, such as CNN, RCNN, YOLO, Viola Jones, and still many more. From our research, we found that the CNN method has the highest accuracy rate than the other methods.