Night vehicle video detection method based on illumination visibility identification

Abstract

The invention discloses a night vehicle video detection method based on illumination visibility identification, which comprises the following steps of: 1) collecting a night traffic scene video image: using a camera lens to compress the collected traffic scene video image into MPEG (moving picture experts group) format and further transmitting to a computer for storage; 2) identifying the night illumination mode: determining whether the mode is the night mode with street lamps or the night mode without the street lamps; 3) carrying out vehicle detection under the night mode without the street lamps or carrying out the vehicle detection under the night mode with the street lamps; 4) tracking the motion of a night vehicle: utilizing the kalman filtering algorithm to carry out motion tracking on a matched vehicle headlamp (under the night mode without the street lamps) or the whole vehicle (under the night mode with the street lamps), obtaining the motion state of the vehicle and realizing the continuous and fast tracking of the motion of the vehicle; and 5) extracting a traffic parameter of the night vehicle: and adopting the two-dimensional reconstruction algorithm based on black box calibration to realize the extraction of a running speed parameter of the vehicle according to a projection relationship model between an image coordinate and a world coordinate.

Description

technical field [0001] The invention relates to a nighttime motor vehicle detection method used in an urban traffic management control system, more precisely, the invention relates to a nighttime vehicle video detection method based on illumination visibility recognition. Background technique [0002] With the rapid development of urban informatization and intelligence and the continuous updating of computer image processing and communication transmission technologies, video detection has been widely used in urban traffic systems. Using video detection technology can realize automatic detection, identification, tracking, and parameters of moving targets. Real-time monitoring of traffic events and traffic status is of great significance for optimizing traffic management control methods and ensuring urban road traffic safety. [0003] At present, some video detection systems have been developed and put into practical applications at home and abroad, but most of these systems h...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the problems existing in the prior art that it is difficult to adapt to the light brightness changes in the environment with or without street lights at night, and cannot guarantee the high precision of the detection of motor vehicle traffic flow parameters at night. Recognition-based night vehicle video detection method

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