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Driver call making identification method in intelligent transportation system

An intelligent transportation system, a technology for making and receiving calls, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as slow response speed and operational errors

Active Publication Date: 2016-10-12
HARBIN INST OF TECH AT WEIHAI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Responses that are too slow may lead to continuous operational errors, which will eventually lead to disastrous consequences

Method used

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  • Driver call making identification method in intelligent transportation system
  • Driver call making identification method in intelligent transportation system
  • Driver call making identification method in intelligent transportation system

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Experimental program
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Embodiment Construction

[0044] The present invention will be described in detail below in conjunction with the accompanying drawings and specific examples. The specific process is as follows:

[0045] Step 1: Read the attached figure 2 The shown driver image I has a size of M×N, where M=188, N=180;

[0046] Step 2: Utilize the Viola-Jones face detection algorithm to detect the human face, determine the area of ​​the human face in the original image I, the coordinates of the upper left corner vertex are (59, 23), the height and width of the area are 51, and the unit is pixel , and capture this area and save it as image I face ;

[0047] Step Three: Take I face The pixel points are used as sample points, and the formula (1) is used to calculate I face The pixel mean value of m=[63.66, 58.12, 48.74] T ;

[0048] m k = 1 n ...

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PUM

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Abstract

The invention relates to a driver call making identification method in an intelligent transportation system. In cooperation with an intelligent traffic violation detection system, the method determines whether a driver makes a call while driving by acquiring an image by using traffic intersection or traffic crossroad video monitoring, separating a driver position from the image, positioning a face to obtain a face image; creating a skin color segmentation model like Mahalanobis distance by using face pixels as sample points, performing skin color segmentation on the driver image, extracting a hand image, computing the center of mass and the inclination angle of the hand image, setting an illegal region according to the length and the width of a face, and determining a relation between the inclination angle range and the center of mass of the hand image and the illegal region.

Description

Technical field: [0001] The invention belongs to the technical field of digital image processing, and specifically relates to a recognition method for a driver to make and receive calls during driving. Background technique: [0002] Due to the rapid development of social economy and the continuous improvement of the quality of life, cars have become an essential tool for daily travel. The number of cars has also increased sharply, followed by frequent traffic accidents. With the development of the transportation industry, traffic accidents have become one of the most important factors that endanger human life. Among the causes of traffic accidents, human factors are the main cause. When encountering an emergency while driving, if the driver is on the phone, his reaction speed will be more than 30% slower than when he is concentrating. Responses that are too slow can lead to a series of operational errors that can eventually lead to disastrous consequences. Therefore, thi...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/597
Inventor 王好贤潘世吉韩雪
Owner HARBIN INST OF TECH AT WEIHAI