License plate identification and positioning system based on combined type vehicle-road video network

Abstract

The invention relates to a license plate identification and positioning system based on a combined type vehicle-road video network. The license plate identification and positioning system based on the combined type vehicle-road video network comprises a vehicle-mounted mobile camera monitoring subsystem (1), a fixed camera monitoring subsystem (2) and a roadside information processing subsystem (3), wherein the vehicle-mounted camera monitoring subsystem (2) is installed on a probe vehicle and used for identifying and positioning vehicle license plates before or behind the probe vehicle, the fixed camera monitoring subsystem (2) is installed above a road and used for identifying and positioning all moving vehicle license plates which can be identified and positioned in a certain road section, the roadside information processing subsystem (3) is installed beside the road section monitored by the fixed camera monitoring subsystem (2) and used for receiving and processing the vehicle information identified and positioned through the vehicle-mounted mobile camera monitoring subsystem (1) and the fixed camera monitoring subsystem (2) which passes the road section, judging the traffic conditions of the road section and sending the processed vehicle information to a traffic management department.

Description

Technical field [0001] The invention belongs to the field of intelligent transportation technology, and in particular relates to a method for identifying and locating license plates in a fixed and mobile manner and a method for fusing information obtained in the two methods. Background technique [0002] With the acceleration of urbanization and the increase in the number of vehicles, the contradiction between traffic supply and demand has become increasingly acute. Traffic congestion has seriously affected people’s travel. To alleviate the congestion problem, urban traffic must be controlled and diverted. The premise of traffic control is to control traffic The acquisition of parameters (vehicle flow, vehicle density, average speed, etc.), traditional traffic parameter acquisition methods are generally based on fixed high-definition camera monitoring, which uses fixed high-definition cameras to locate and track vehicles in the area to analyze this area At this stage, the Beijing...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problems such as the high false detection rate of a single fixed camera for vehicles in traffic jams and the errors in the determination of traffic index by a single floating car positioning and speed information, the invention proposes a roadside fixed camera and a vehicle-mounted mobile camera. The combined license plate recognition system is as follows:

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