Method and device for identifying distraction behavior of driver, terminal and storage medium

A recognition method and driver technology, applied in the field of deep learning and computer vision, can solve the problems of lack of time series correlation, little difference data, large data interference, etc., to remove background interference, improve accuracy, and avoid label errors. Effect

Pending Publication Date: 2021-12-28
SUN YAT SEN UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a method, device, terminal, and storage medium for identifying driver distraction behavior, which solves the problem of large data interference, discarding information during feature extraction, resulting in data loss, little difference between each category, and data loss. The problem of lack of correlation on time series

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  • Method and device for identifying distraction behavior of driver, terminal and storage medium
  • Method and device for identifying distraction behavior of driver, terminal and storage medium
  • Method and device for identifying distraction behavior of driver, terminal and storage medium

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Embodiment Construction

[0042] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the embodiments of the present invention. As used in the embodiments of the present invention and the appended claims, the singular forms "a", "said" and "the" are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

[0043] It should be understood that although the terms first, second, third, etc. may be used in the embodiments of the present invention to describe various information, the information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of the embodiments of the present invention, fi...

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Abstract

The invention discloses a method and a device for identifying the distraction behavior of a driver, a terminal and a storage medium. Image enhancement of a driving distraction data set is carried out through a deep learning method, employing convolution, an activation function and an attention mechanism, the feature expression of an image region of interest is enhanced through the information interaction between learning channels, and as the input of the neural network, channel redundancy is reduced, and the feature expression ability is enhanced. Human body features are extracted from the images passing through the image enhancement network, expression of important features is enhanced, feature extraction of the Transform model is easier, the recognition result is more accurate, finally, wrong tag images in samples are screened through confidence learning, the recognition accuracy is improved, and the method and the device can be compatible with various automatic driving systems to realize end-to-end driving distraction behavior recognition.

Description

technical field [0001] The present invention relates to the fields of deep learning and computer vision, and in particular to a method, device, terminal and storage medium for identifying driver distraction behavior. Background technique [0002] At present, the highest level of self-driving vehicles also needs to complete automatic driving with the assistance of humans, so it is necessary to monitor the driver's attention status to ensure driving safety. Driving distraction behavior refers to: in the state of non-alcohol, drug-free or fatigue-free driving, the driver diverts his attention from the main task of driving, resulting in a decrease in the ability to perceive the environment, thereby threatening driving safety. Driving distraction behavior recognition is difficult to effectively capture driving distraction behavior due to the large differences in driving environment and driver characteristics. In recent years, image classification and behavior recognition technol...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/34G06K9/62G06N3/08
CPCG06N3/08G06F18/214
Inventor 陈俊周陈文权苟超徐勇志
Owner SUN YAT SEN UNIV
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