Real Time Passenger Flow Calculation Based on Zynq

摘要

There are many researches on pedestrian detection. These researches are mainly used in ADAS systems based on the front view of the pedestrian. However in some situation, for example on the bus or in the public access, passenger flow calculation needs to be done based on the top view images. This paper presents an efficient FPGA-based passenger flow calculation on a Xilinx Zynq SoC. The algorithms presented include hair model and head detection. The hardware and software collaborative design realized accurate detection in real-time.