Method for detecting and tracking night running vehicle

Abstract

The invention discloses a method for detecting and tracking a night running vehicle. The method is implemented according to the following steps of: (1) foreground detection: selecting vehicle lamp brightness to carry out foreground detection, and detecting a vehicle lamp region through detecting whether the brightness of each frame of pixel point in a video stream is larger than a set threshold or not; (2) noise elimination: removing most noise points from a binary image obtained from the step (1) and more accurately obtaining a foreground target; (3) vehicle lamp matching: pairing two vehicle lamps according to a corresponding principle, finding out a big front lamp pair and representing the vehicle by using the big front lamp pair; (4) vehicle lamp pair tracking: after finishing the vehicle lamp pairing according to the steps, tracking the vehicle lamp so as to realize the tracking of the vehicle; and (5) after retracking the target, matching the vehicle lamp pairs and finally obtaining a vehicle to be detected. The method for detecting and tracking the night running vehicle, disclosed by the invention, has the following advantages that: the night vehicle is detected by using the vehicle lamp characteristic; and in the method, simplicity for extracting algorithm characteristic and stable vehicle detecting effect are obtained.

Description

technical field [0001] The invention belongs to the technology in the fields of image processing and computer vision, and relates to a method for detecting and tracking vehicles running at night. Background technique [0002] Vehicle detection at night is not like daytime, when vehicles are clearly visible and contrast is obvious, existing image processing and vision algorithms can effectively detect vehicles. The situation at night is very different. Under different lighting conditions, the visibility of the vehicle body is different. In the case of insufficient road lighting, this algorithm cannot detect the vehicle body, and the various lights on the vehicle body and the reflected light from the road surface Obviously, this algorithm needs to eliminate the influence of reflected light from a large area of ​​the road surface, and detect the lights of adjacent vehicles, which is the difficulty of vehicle detection at night. [0003] In vehicle detection at night, due to th...

AI Technical Summary

Problems solved by technology

[0004] In special scenes such as night, due to the instability of lighting and the complexity of the environment, the existing foreground detection algorithms are invalid, and the detection of vehicles in night scenes cannot be realized.

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