Passenger in vehicle counting method of HOV/HOT system

Automated number of passenger in vehicle counting system has been desired to realize for HOV (High Occupancy Vehicle) and HOT (High Occupancy Toll) use. Under outdoor environment, many complicated factors such as sunlight and vehicle window with darkly tinted cause to deteriorate captured image quality and as a result number counting accuracy remains at low level. In this paper, simple but refined image acquisition scheme and novel number of passenger counting algorithm are proposed. Especially, by incorporating deep neural network for face detection, integrating face detection results over plural frames and calculating confidence value of estimation result, useful and high accuracy has been realized.