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Driver eye movement behavior detection method, system, medium and equipment in driving scene

A technology for driving scenarios and detection methods, applied in neural learning methods, acquisition/recognition of eyes, instruments, etc., can solve problems such as untargeted and complex model parameters, and achieve low investment costs and good application prospects

Pending Publication Date: 2019-08-09
UNIV OF JINAN
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although deep learning plays an important role in most computer vision tasks, there are very few cases where it is actually used to detect the direction of eye movement behavior in driving scenarios. Most of them are obtained by training with existing networks, which are not targeted, and the model parameters are too complicated

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  • Driver eye movement behavior detection method, system, medium and equipment in driving scene
  • Driver eye movement behavior detection method, system, medium and equipment in driving scene
  • Driver eye movement behavior detection method, system, medium and equipment in driving scene

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Embodiment Construction

[0033] The present disclosure will be further described below in conjunction with the accompanying drawings and embodiments.

[0034] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.

[0035] It should be noted that the terminology used herein is only for describing specific embodiments, and is not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

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PUM

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Abstract

The invention provides a driver eye movement behavior detection method, system, medium and equipment in a driving scene. The method comprises the following steps: acquiring a driver driving video; framing the video, identifying a target area comprising the face and the eyes, intercepting the target area and storing the target area in a picture form; constructing a dual-channel convolutional neuralnetwork, taking the eye picture as the input of one channel, and extracting eye features; taking the face picture as the input of another channel, and extracting face features; fusing features extracted by the two channels by the two full connection layers and obtaining a final identification result by the softmax function, so that the input cost is low, complex model parameters are not needed, and the method has a very good application prospect.

Description

technical field [0001] The disclosure belongs to the field of automatic control processing of automobiles, and in particular relates to a method, system, medium and equipment for detecting driver's eye movement behavior in a driving scene. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] With the development of the economy, the number of cars is increasing, which makes the road congestion more and more serious, and the incidence of traffic accidents is getting higher and higher. There are hundreds of thousands of traffic accidents in China every year, and the number of casualties reaches hundreds. Ten thousand, driver inattention is the main cause of traffic accidents, such as using a smartphone while driving, operating the car's central control system, talking to passengers, etc. Any activity that diverts the driver's attention from the d...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/084G06V40/20G06V40/193G06V40/19G06V20/597G06N3/045
Inventor 杨晓晖察晓磊冯志全周劲徐涛韩士元
Owner UNIV OF JINAN
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