Intersection pass early warning method based on computer vision

Abstract

The invention discloses an intersection pass early warning method based on computer vision. The method comprises the following steps: S1) collecting video images of an intersection in real time and capturing close-up images of vehicles; S2) extracting moving objects according to the video images, generating moving object driving information and extracting complete vehicle license plate information according to the close-up images; S3) carrying out classification on the moving objects to obtain a classification result; S4) calculating driving speed of each vehicle according to the classification result and the driving information; S5) storing information of the vehicles passing through the intersection, and predicating the center-of-mass coordinate of each moving object at the next-moment position according to the driving speed and driving information of the vehicle; and S6) according to the driving information, the driving speed and the center-of-mass coordinate of the moving object at the next-moment position, generating an early warning signal and displaying the early warning information for the situations meeting abnormal conditions. The method can carry out analysis on construction intersection pass abnormity conditions through the video image analysis technology and output the early warning signal, and is high in stability and accuracy.

Description

technical field [0001] The invention relates to the field of traffic safety early warning, in particular to a computer vision-based crossroad traffic early warning method. Background technique [0002] Roads in construction sites, especially intersections, are the most dangerous areas in the road network. Since the construction site is temporarily opened, signal lights and road indicator lines are scarce, pedestrians are not concentrated, and most construction vehicles are large vehicles. The entry of vehicles has become a frequent source of traffic accidents. When pedestrians and vehicles pass through the intersection, the construction buildings often cause drivers and pedestrians to have visual blind spots, foreign vehicles driving to a specific construction section violates construction management regulations, and vehicle speed exceeds the safety value of the construction section. These factors may cause traffic accidents. Accidents, when there are few traffic lights and...

AI Technical Summary

Problems solved by technology

When pedestrians and vehicles pass through the intersection, the construction buildings often cause drivers and pedestrians to have visual blind spots, foreign vehicles driving to a specific construction section violates construction management regulations, and vehicle speed exceeds the safety value of the construction section. These factors may cause traffic accidents. Accidents, when there are few traffic lights and irregular roads in the construction section, it is especially necessary to pay attention to the generation of traffic safety hazards

The traditional traffic early warning system is not fully suitable for the geographical conditions of the construction site, and the early warning range is not wide enough, and the technical means are single. Therefore, we propose a computer vision-based crossroad traffic early warning system and method for construction sites

Images