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Deep learning based automatic checking method against vehicle lane-pressing illegal behavior

A deep learning, vehicle technology, applied in the system field of vehicle pressure line illegal review, can solve the problems of low efficiency, fatigue, and high labor costs

Active Publication Date: 2019-06-28
上海眼控科技股份有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional and illegal audits are mainly through manual identification. This method has high labor costs and low efficiency, and long-term repetitive calibration operations are prone to fatigue, negligence and other bad states, which affect the calibration accuracy.

Method used

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  • Deep learning based automatic checking method against vehicle lane-pressing illegal behavior
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  • Deep learning based automatic checking method against vehicle lane-pressing illegal behavior

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Embodiment Construction

[0056] Below in conjunction with accompanying drawing, the present invention will be further described.

[0057] The present invention is mainly based on a target vehicle detection module, a scene segmentation module, and a line-breaking illegal judgment module.

[0058] like figure 2 As shown, the target vehicle detection module is composed of a vehicle detection unit, a license plate detection unit, a license plate recognition unit, a vehicle ReID unit and a judgment unit.

[0059] First, use the vehicle detection unit on the ranking graph to get all the vehicle detection boxes on the ranking graph. Then the vehicle detected by the first sorting image is passed into the license plate detection unit to obtain the license plate detection frame, and then the license plate detection result is input into the license plate recognition unit to identify the license plate number.

[0060] Determine whether it matches the license plate number of the target vehicle. If the matching...

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Abstract

The invention discloses a deep learning based automatic checking method against a vehicle lane-pressing illegal behavior. The method comprises the following steps that a snapshot picture of a camera is obtained, cut and ordered; the license plate number of a target vehicle is obtained; a deep learning based target vehicle detection module is used to detect the target vehicle in different ordered images, and a target vehicle detection frame is obtained; scene cutting is carried out on the ordered image by means of deep learning based scene cutting module, and segmented solid line pixels are obtained; in each ordered image, a vehicle lane pressing illegal behavior determining module determines whether there is an intersection point between a solid line fitting straight line and a straight line of a lower frame of the target vehicle detection frame by calculation; and whether the target vehicle in the group of ordered images has a lane pressing illegal behavior is determined according toposition of the intersection point. Thus, the method is suitable for illegal behavior checking via the pictures shot by traffic cameras in the real scene.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence judging traffic violations, in particular to a system for reviewing violations of traffic violations. Background technique [0002] With the continuous development of social economy and the continuous improvement of people's living standards, the traffic management bureau has an increasing demand for automatic verification of traffic violations. Traditional and illegal audits are mainly through manual identification. This method has high labor costs and low efficiency, and long-term repetitive calibration operations are prone to fatigue, negligence and other bad states, which affect the calibration accuracy. [0003] How to accurately and quickly review illegal behaviors in traffic, while avoiding the disadvantages of high cost of manual identification, fatigue, and negligence, is a technical problem that needs to be solved urgently. Contents of the invention [0004] The purpos...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/017G06K9/00G06K9/32G06K9/46
Inventor 周康明
Owner 上海眼控科技股份有限公司
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