SDSoC based development of vehicle counting system using adaptive background method
Katawut Srijongkon, Rakkrit Duangsoithong, Nattha Jindapetch, Masami Ikura, Surachate Chumpol · 2017
This paper presents a processing system of vehicle detection and counting for a camera on the city street using a heterogeneous ARM/FPGA processor and Xilinx SDSoC (Software-Defined System on Chip). An adaptive background method for reducing the impact of environment have been developed by analyzing luminance approximation changes over time and luminance approximation changes suddenly to improve background image of the object and to eliminate shadows so that the process of vehicles detecting and counting worked effectively.