NIGHT VIDEO TRAFFIC DETECTION USING FREQUENCY FILTERS

This article aims to present a study of the traffic video detection using different video processing methods capable of detecting the vehicles in poor illumination conditions, even at night. For achieving this target, a couple of spatial and frequency filters have been used. All the processes necessary to obtain the traffic flow detection have been concentrated and presented into a software diagram. By combining this method with various other traffic detection methods we can compile a Lab View software application capable of being integrated with different intelligent transport management systems.