Vehicle detection method for eliminating night road reflective interference

Abstract

The invention discloses a vehicle detection method for eliminating night road reflective interference. A road monitoring image is preprocessed through the atmospheric scattering principle and the LOG filtering principle, a reflected hard light graph and a reflected dim light graph are obtained, the Fisher statistical characteristic for distinguishing a vehicle lighting and reflected light is obtained through sample statistics of the vehicle lighting and reflected light, the vehicle lighting and reflected light in an image are distinguished through the Fisher distinguishing method, and the reflected light in the image is divided and eliminated; then a vehicle lighting area is extracted from a highlight communication area through the vehicle lighting shape characteristic, a vehicle lighting matching rule is built, the vehicle lighting is matched, and vehicle detection and statistics are finished. The reflected light is distinguished through the Fisher classification method and is divided and eliminated, inference of the road reflected light in the night vehicle detection can be effectively eliminated, and therefore the vehicle detection efficiency is improved. Other reference substances are not relied on in vehicle detection through the method, and the method has good adaptability to the night road environment.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a vehicle detection method for eliminating road reflection interference at night. Background technique [0002] In recent years, daytime road vehicle detection technology based on surveillance video has been relatively mature; while vehicle detection for nighttime road monitoring still has low detection accuracy and is easily affected by road environment light. [0003] The vehicle detection algorithm for road monitoring at night is mainly divided into: (1) The method based on vehicle feature classification, although this method is less affected by noise, but in the case of dark external lighting conditions, vehicle color, outline, shape and other features Not obvious, resulting in low detection rate and poor robustness; (2) The vehicle detection method based on the color of the taillight, which is easily affected by the ambient light and the overexposure of the camera, ...

AI Technical Summary

Problems solved by technology

Although such methods can improve the vehicle detection rate to a certain extent, they still cannot fundamentally solve the problem of the interference of reflected light on night vehicle detection.

Images