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Non-motor vehicle detection method

A non-motor vehicle and detection method technology, applied in neural learning methods, computer components, image data processing, etc., can solve the problems of long recognition time, low accuracy rate, poor robustness, etc., and achieve short running time and high recognition rate and high accuracy, to achieve the effect of detection

Pending Publication Date: 2020-05-12
北京奥易克斯科技有限公司
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AI Technical Summary

Problems solved by technology

However, the detection effect of Fast R-CNN largely depends on the number of object proposals (Object Proposals, OP) extracted from the sample image. Over-fitting phenomenon is prone to occur in the medium, and it has high requirements for network and hardware
[0005] Generally speaking, the above methods all have various deficiencies such as low accuracy, poor robustness, long recognition time, etc.

Method used

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Embodiment Construction

[0032] The non-motor vehicle detection and recognition technology belongs to the field of computer vision, that is, through the deep learning ability of artificial intelligence, the non-motor vehicle can be accurately detected. The invention proposes a non-motor vehicle detection technology based on deep learning, which can quickly and accurately detect the The specific plan for non-motorized vehicles in the motorized lane is as follows.

[0033] Such as figure 1 As shown, a non-motor vehicle detection method includes the following steps.

[0034] S1. Image preprocessing. Because the images taken by the traffic video cameras are of different sizes, the video images taken by the traffic video cameras are obtained here, and the specifications of the video images are standardized, that is, the unified adjustment of the video images to a video image of 416*416 pixels, and the adjustment After the video images are collected, the results are as follows figure 2 shown.

[0035] ...

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Abstract

The invention discloses a non-motor vehicle detection method. The non-motor vehicle detection method comprises the following steps: S1, image preprocessing: acquiring a video image shot by a traffic video camera, and standardizing the specification of the video image; and S2, non-motor vehicle detection: using a YOLOv3 network on an OpenCV platform, and performing non-motor vehicle detection in combination with the standardized video image to obtain a detection result. The method is short in operation time and high in recognition rate and accuracy, and can effectively detect the non-motor vehicles entering the motor vehicle lane.

Description

technical field [0001] The invention relates to a detection method, in particular to a non-motor vehicle detection method based on deep learning, which belongs to the technical field of artificial intelligence. Background technique [0002] With the rapid development of computer technology in recent years, various related technologies based on computer technology have developed rapidly, among which object detection technology has attracted more and more attention. Target detection technology is an important branch of image processing and computer vision. Its research methods are mainly the method based on background modeling and the detection method based on feature information proposed by Taigman Y et al. Locate the set non-motor vehicle target. But so far, few researchers have carried out target detection research on non-motor vehicles such as bicycles; in addition, since non-motor vehicle targets in road traffic images will change due to changes in illumination, viewing ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/42G06N3/04G06N3/08G06T7/11
CPCG06T7/11G06N3/08G06V20/41G06V10/32G06N3/045
Inventor 王凤石
Owner 北京奥易克斯科技有限公司
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