Multi-feature nighttime vehicle detection method based on machine vision

Abstract

The invention provides a multi-feature nighttime vehicle detection method based on machine vision. The method comprises the steps that an upper boundary line and a lower boundary line are delimited on a detected image to obtain an area needing to be detected; in the detecting area, the binary images of a red area and a white area are obtained through the color and the brightness feature of a nighttime vehicle taillight; according to the space features of the nighttime vehicle taillight, searching is conducted on the binary images of the red area and the white area to obtain candidate taillight images; then the candidate taillight images are searched for to obtain the specific information of candidate taillights; at last, the candidate taillights are matched according to the geometric feature rules of vehicle taillight pairs so that the candidate taillight pairs can be obtained. The multi-feature nighttime vehicle detection method based on machine vision is suitable for a vehicle-mounted road target detection system based on vision, and the real-time performance and the interference resistance of the target detection system are improved. The multi-feature nighttime vehicle detection method based on machine vision is suitable for the field of vehicle intelligent anti-collision early warning and the technical field of vehicle detection.

Description

technical field [0001] The present invention mainly relates to the field of vehicle intelligent collision warning (Vehicle Intelligent Collision Warning) based on vision, in particular to a multi-feature night vehicle detection method based on machine vision, which is used for vehicles equipped with intelligent systems to be able to The vehicle ahead is detected in time. Background technique [0002] As the popularity of automobiles increases, people pay more and more attention to the safety performance of automobiles. An effective measure to improve the safety performance of automobile driving is to use the vehicle anti-collision warning system, and the vehicle detection module is one of the important components of the system. [0003] At present, there are many vehicle detection methods for machine vision: stereo vision-based, machine learning-based and feature-based detection methods. Among them, the disadvantages of the vehicle detection method based on stereo vision a...

AI Technical Summary

Problems solved by technology

[0006] In the application scenario of road vehicle target detection based on monocular vision night vehicle system, the traditional vehicle detection method based on single feature is vulnerable to the defect of background light source interference, the present invention discloses a multi-feature night vehicle detection based on machine vision Method for stable detection of vehicle-mounted road targets at night

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