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Method and device for establishing a detection model and detecting behaviors of calling and receiving mobile phones

A detection model and mobile phone technology, which is applied in the detection field, can solve the problems of traffic system safety hazards and the inability to automatically detect the driver's mobile phone behavior, and achieve the effect of ensuring global characteristics, ensuring local characteristics, and improving accuracy

Active Publication Date: 2020-10-02
BOCOM SMART INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Therefore, the technical problem to be solved by the present invention is that in the prior art, it is impossible to automatically detect whether the driver has a mobile phone behavior during driving, which makes the traffic system a potential safety hazard.

Method used

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  • Method and device for establishing a detection model and detecting behaviors of calling and receiving mobile phones
  • Method and device for establishing a detection model and detecting behaviors of calling and receiving mobile phones
  • Method and device for establishing a detection model and detecting behaviors of calling and receiving mobile phones

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Embodiment 1

[0028] This embodiment provides a method for establishing a human face and hand detection model, which can be used to establish a related model for identifying whether the driver has a mobile phone behavior during driving, such as figure 1 shown, including the following steps:

[0029] S11: Label the first face information and first hand information when the user does not answer or call the mobile phone in the sample image, and the second face information and second hand information when the user answers or calls the mobile phone, and generate annotated training In the sample, the first and second face information include face features and face location information respectively, and the first and second hand information include hand features and hand location information. For example, if the user is the driver, the image can be obtained by collecting historical video streams in the cockpit. Generally, the car is equipped with a camera. Since the camera is installed on the fron...

Embodiment 2

[0035] This embodiment provides a method for detecting the behavior of calling and receiving mobile phones, which can be used to identify whether the driver has the behavior of calling and receiving mobile phones during driving, such as figure 2 shown, including the following steps:

[0036] S21: Acquire a target image. For example, for the behavior detection process of the driver in the traffic system, the target image can be obtained by collecting the real-time video stream in the cockpit. Generally, the car is equipped with a camera. Since the camera is installed on the front windshield of the car, through The camera installed in the car collects images of the driver's seat area, which can clearly capture the driver's behavior without the assistance of other electronic devices, and will not affect the driver's normal driving.

[0037] S22: Input the target image into the human face and hand detection model established by the method for establishing a human face and hand d...

Embodiment 3

[0041] This embodiment provides a device for establishing a face and hand detection model, which can be used to establish a related model for identifying whether the driver has a mobile phone behavior during driving, such as image 3 Shown, comprise: labeling module 31, extraction module 32 and training module 33, each module function is as follows:

[0042] Annotation module 31 is used for labeling the first face information and the first hand information when the user does not answer and call the mobile phone in the sample image, and the second face information and the second hand information when the user answers and calls the mobile phone, and generates For the training sample after marking, the first and two face information include face features and face position information respectively, and the first and second hand information include hand features and hand position information. For details, refer to step S11 in embodiment 1. A detailed description.

[0043] The extr...

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Abstract

The present invention provides a method and device for establishing a detection model and detecting the behavior of receiving and calling a mobile phone. The method for establishing a model includes: first face information and first hand information when the user does not answer or call a mobile phone in a sample image and the second face information and the second hand information when receiving and calling the mobile phone to generate annotated training samples, the first and two face information respectively include face features and face position information, and the second 1. Second-hand hand information includes hand features and hand position information; five-layer convolution is used to extract the feature maps of the training samples, and the third-layer convolution, fourth-layer convolution, and fifth-layer convolution correspond to The pooled feature map is fully connected; the feature map is input into a convolutional neural network for training to obtain a face and hand detection model. This scheme ensures the global and local characteristics of the feature map, makes the feature map more comprehensive and accurate in representing the characteristics of the training samples, and improves the accuracy of the face and hand detection model.

Description

technical field [0001] The invention relates to the technical field of detection, in particular to a method and device for establishing a detection model and detecting behaviors of calling and receiving mobile phones. Background technique [0002] Intelligent transportation system is the development direction of the future transportation system, and it is also a frontier research topic in the field of transportation in the world. With the development of computer vision technology, embedded technology, and network communication technology, research on the automatic detection system of vehicle violations has become a research hotspot in current intelligent transportation. As an important measure to ensure the safe driving of drivers and reduce the fatality rate in traffic accidents, with the development of modern communication technology, the behavior of drivers using mobile phones while driving has become a major cause of traffic accidents. It is deplorable that the increase...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/20G06V20/597G06F18/214
Inventor 谢波刘彦张如高
Owner BOCOM SMART INFORMATION TECH CO LTD
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