Vehicle queue length detection method and device

Abstract

The embodiment of the invention discloses a vehicle queue length detection method and a device, relating to the intelligent traffic field and improving the accuracy of vehicle queue length detection. The Vehicle queue length detection method comprises the following steps of: acquiring a frame of a traffic road image; recognizing and judging a shooting scene of the traffic road image; detecting a queuing vehicle and calculating the vehicle queue length by adopting a first defection method combining with a three-frame difference method and morphology when judging that the shooting scene of the traffic road image is daytime; and detecting the queuing vehicle queue and calculating the queuing vehicle queue length by adopting a second defection method based on a vehicle light when judging that the shooting scene of the traffic road image is night. When applied to the vehicle queue length detection, the embodiment of the invention respectively adopts different vehicle queue detection algorithms aiming at the respective characteristics of daytime and night and can realize that the vehicle queue conditions in daytime and at night can be accurately detected so as to improve the accuracy of the vehicle queue length detection.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a method and device for detecting vehicle queuing length. Background technique [0002] In the intelligent transportation system, whether there is a vehicle queuing phenomenon in a certain lane can be detected through the vehicle queuing length detection. When there is a vehicle queuing, the queue length formed by the queuing vehicles can be calculated. [0003] The prior art provides a vehicle queuing length detection method. When realizing vehicle queuing detection, a moving window mechanism is adopted, and the detection of each sub-window is divided into two steps: vehicle motion detection and vehicle presence detection. For example, by extracting the edge information of the image in the detection window to judge whether there is a vehicle, or by extracting the edge of the vehicle perpendicular to the road axis to realize the vehicle presence detection. The prior art...

AI Technical Summary

Problems solved by technology

[0004] However, the inventors found that the edge information of vehicles is usually more obvious during the day, and the existing methods can achieve good vehicle queue length detection results. When night comes, the light becomes darker, and the edge information of vehicles decreases sharply. When the vehicle is detected, it is easy to cause the detected vehicle queue length to be inaccurate

Especially after rainy and snowy weather, due to the reflection of the wet road surface or the unevenness of the road surface, a large amount of edge information will be detected when the lights shine on the road surface, resulting in inaccurate detection results of the vehicle queue length

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