Call detection of driver based on constrained local models

Huasheng Xu; Junhang Ding; Xiujuan Ren; Qingmei Sui

doi:10.1109/CAC.2017.8243080

Call detection of driver based on constrained local models

Huasheng Xu
, Junhang Ding
, Xiujuan Ren
, Qingmei Sui

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In order to reduce the number of accidents caused by the call when the driver was driving, this paper uses the computer vision technology to dectet the behavior of the driver. Based on the constrained local models (CLM) to detect the characteristic changes of the mouth area, combine the HSV color space and the template matching to detect the hand characteristics to judge whether the driver has the behavior of using the telephone. The method can adapt to the complex changes in the cab light, to achieve better test results, and the program has a good portability. It is easy to migrate on embedded systems and onboard. It is proved that the method proposed in this paper can detect the driving behavior of the driver and timely and effective reminder of the illegal behavior, which is helpful to reduce the traffic accident and ensure the safe driving of the driver.

Original language	English
Title of host publication	Proceedings - 2017 Chinese Automation Congress, CAC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1907-1910
Number of pages	4
ISBN (Electronic)	9781538635247
DOIs	https://doi.org/10.1109/CAC.2017.8243080
State	Published - 29 Dec 2017
Externally published	Yes
Event	2017 Chinese Automation Congress, CAC 2017 - Jinan, China Duration: 20 Oct 2017 → 22 Oct 2017

Publication series

Name	Proceedings - 2017 Chinese Automation Congress, CAC 2017
Volume	2017-January

Conference

Conference	2017 Chinese Automation Congress, CAC 2017
Country/Territory	China
City	Jinan
Period	20/10/17 → 22/10/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Computer vision
Constrained local models
HSV color space
Template matching

Access to Document

10.1109/CAC.2017.8243080

Cite this

@inproceedings{6fb3de0137e64374b047859e94542ff9,

title = "Call detection of driver based on constrained local models",

abstract = "In order to reduce the number of accidents caused by the call when the driver was driving, this paper uses the computer vision technology to dectet the behavior of the driver. Based on the constrained local models (CLM) to detect the characteristic changes of the mouth area, combine the HSV color space and the template matching to detect the hand characteristics to judge whether the driver has the behavior of using the telephone. The method can adapt to the complex changes in the cab light, to achieve better test results, and the program has a good portability. It is easy to migrate on embedded systems and onboard. It is proved that the method proposed in this paper can detect the driving behavior of the driver and timely and effective reminder of the illegal behavior, which is helpful to reduce the traffic accident and ensure the safe driving of the driver.",

keywords = "Computer vision, Constrained local models, HSV color space, Template matching",

author = "Huasheng Xu and Junhang Ding and Xiujuan Ren and Qingmei Sui",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Chinese Automation Congress, CAC 2017 ; Conference date: 20-10-2017 Through 22-10-2017",

year = "2017",

month = dec,

day = "29",

doi = "10.1109/CAC.2017.8243080",

language = "英语",

series = "Proceedings - 2017 Chinese Automation Congress, CAC 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1907--1910",

booktitle = "Proceedings - 2017 Chinese Automation Congress, CAC 2017",

}

Xu, H, Ding, J, Ren, X & Sui, Q 2017, Call detection of driver based on constrained local models. in Proceedings - 2017 Chinese Automation Congress, CAC 2017. Proceedings - 2017 Chinese Automation Congress, CAC 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1907-1910, 2017 Chinese Automation Congress, CAC 2017, Jinan, China, 20/10/17. https://doi.org/10.1109/CAC.2017.8243080

Call detection of driver based on constrained local models. / Xu, Huasheng; Ding, Junhang; Ren, Xiujuan et al.
Proceedings - 2017 Chinese Automation Congress, CAC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1907-1910 (Proceedings - 2017 Chinese Automation Congress, CAC 2017; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Call detection of driver based on constrained local models

AU - Xu, Huasheng

AU - Ding, Junhang

AU - Ren, Xiujuan

AU - Sui, Qingmei

PY - 2017/12/29

Y1 - 2017/12/29

N2 - In order to reduce the number of accidents caused by the call when the driver was driving, this paper uses the computer vision technology to dectet the behavior of the driver. Based on the constrained local models (CLM) to detect the characteristic changes of the mouth area, combine the HSV color space and the template matching to detect the hand characteristics to judge whether the driver has the behavior of using the telephone. The method can adapt to the complex changes in the cab light, to achieve better test results, and the program has a good portability. It is easy to migrate on embedded systems and onboard. It is proved that the method proposed in this paper can detect the driving behavior of the driver and timely and effective reminder of the illegal behavior, which is helpful to reduce the traffic accident and ensure the safe driving of the driver.

AB - In order to reduce the number of accidents caused by the call when the driver was driving, this paper uses the computer vision technology to dectet the behavior of the driver. Based on the constrained local models (CLM) to detect the characteristic changes of the mouth area, combine the HSV color space and the template matching to detect the hand characteristics to judge whether the driver has the behavior of using the telephone. The method can adapt to the complex changes in the cab light, to achieve better test results, and the program has a good portability. It is easy to migrate on embedded systems and onboard. It is proved that the method proposed in this paper can detect the driving behavior of the driver and timely and effective reminder of the illegal behavior, which is helpful to reduce the traffic accident and ensure the safe driving of the driver.

KW - Computer vision

KW - Constrained local models

KW - HSV color space

KW - Template matching

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M3 - 会议稿件

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T3 - Proceedings - 2017 Chinese Automation Congress, CAC 2017

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 Chinese Automation Congress, CAC 2017

Y2 - 20 October 2017 through 22 October 2017

ER -

Call detection of driver based on constrained local models

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this