Method and system for vehicle monitoring

Abstract

The invention provides a method for vehicle monitoring. The method for vehicle monitoring is used for monitoring and identifying non-public-transport-vehicle entering bus lanes. The method for vehicle monitoring comprises collecting video images in a monitoring scene; calibrating the video images in the monitoring scene; conducting motion analysis to the video images in the monitoring scene, and detecting vehicles; extracting information of the top and the bottom of a vehicle and calculating the height of the vehicle according to the information of the top and the bottom of the vehicle when the vehicle is detected; extracting a bus lane in the monitoring scene and confirming a bus lane area in a video image; and when the height of a vehicle entering the bus lane area is smaller than a preset threshold value, judging the vehicle is a non--public-transport-vehicle. The invention further provides a system for the vehicle monitoring.

Description

technical field [0001] The invention relates to a vehicle monitoring method and system, in particular to a vehicle monitoring method and system for bus lane management. Background technique [0002] Video intelligent traffic monitoring is a hot research field at present. It can assist the traffic department to manage urban traffic, and it plays an increasingly important role in modern traffic management systems. An important task of traffic management is to monitor illegal vehicles and impose penalties according to the degree of violation, so as to achieve the purpose of regulating the legal driving of drivers. Traditional monitoring relies on human observation to monitor illegal vehicles, which cannot achieve the purpose of all-weather and timely monitoring. Video-based intelligent traffic monitoring introduces intelligent recognition technology into traffic monitoring, which can automatically, accurately and continuously analyze traffic scenes to determine whether there a...

AI Technical Summary

Problems solved by technology

However, illegally entering public transport vehicles often occurs. In order to increase the speed of travel, some non-transit vehicles often enter non-transit lanes, occupying valuable bus lane resources.

The traditional moving target detection and tracking method can extract the position and size information of the vehicle, but due to factors such as occlusion, shadow and monitoring angle, it is difficult to detect illegal public transport vehicles

As a result, it is impossible to punish illegal vehicles, and the situation of illegally occupying bus lanes cannot be effectively curbed.

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