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Driving behavior detection method, device and electronic equipment

A detection method and behavior technology, applied in neural learning methods, instruments, biological neural network models, etc., can solve the problems of incorrect detection results of abnormal driving behaviors and low accuracy of abnormal driving behaviors, so as to alleviate the problems of low accuracy and high precision. The effect of improving the detection efficiency and improving the detection efficiency

Active Publication Date: 2022-04-12
青岛以萨数据技术有限公司
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Problems solved by technology

However, the accuracy of abnormal driving behavior detected by existing methods is low, and it is easy to make errors in the detection results of abnormal driving behavior.

Method used

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  • Driving behavior detection method, device and electronic equipment
  • Driving behavior detection method, device and electronic equipment
  • Driving behavior detection method, device and electronic equipment

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Embodiment Construction

[0050] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions of the present application will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present application, not all of them. the embodiment. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0051] The terms "including" and "having" mentioned in the embodiments of the present application and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes other unlisted steps or units, or optionally ...

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Abstract

The present application provides a driving behavior detection method, device and electronic equipment, which relate to the technical field of security monitoring and alleviate the technical problem of low accuracy in detecting abnormal driving behavior. The method includes: acquiring a main driver's window image; wherein, the main driver's window image contains a driver; performing a human body key point of the driver in the main driver's window image by specifying a CPN convolutional neural network Extract to obtain the coordinates of key points of the human body; determine the driving behavior characteristic data based on the coordinates of the key points of the human body; wherein, the driving behavior characteristic data is used to characterize the driving behavior of the driver; after passing the training according to the driving behavior characteristic data The FD-KNN discriminant model detects whether the driver has abnormal driving behavior, and obtains the abnormal driving behavior detection result.

Description

technical field [0001] The present application relates to the technical field of security monitoring, in particular to a driving behavior detection method, device and electronic equipment. Background technique [0002] At present, with the advancement of science and technology and the development of society, automobiles have taken a large proportion in people's lives and have become a convenient means of transportation for people. At the same time, irregular driving by drivers has led to a large number of unnecessary traffic accidents, which has become an important aspect that threatens people's lives. However, the accuracy of the abnormal driving behavior detected by the current existing methods is low, and it is easy to cause errors in the detection result of the abnormal driving behavior. Contents of the invention [0003] The purpose of the present invention is to provide a driving behavior detection method, device and electronic equipment to alleviate the technical p...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/59G06V20/54G06V40/10G06V10/764G06V10/774G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06N3/088G06N3/045G06F18/2155G06F18/24147
Inventor 苏照阳石柱国李凡平
Owner 青岛以萨数据技术有限公司