Extracting driver's facial features during driving

J. M. Wang; H. P. Chou; C. F. Hsu; S. W. Chen; C. S. Fuh

doi:10.1109/ITSC.2011.6082890

Extracting driver's facial features during driving

J. M. Wang^*, H. P. Chou, C. F. Hsu, S. W. Chen, C. S. Fuh

^*Corresponding author for this work

Department of Computer Science and Information Engineering

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

6 Citations (Scopus)

Abstract

In this paper, a vision system for monitoring driver's facial features is presented. To begin, the driver's face is first located in the input video sequence. It is then tracked over the subsequent images. The facial features of eyes, mouth and head are kept detecting in the course of face tracking. Feature detection and tracking are performed in parall so that the precise can be improved. A number of video sequences with the drivers of different ages and genders under various illumination and road conditions were employed to demonstrate the performance of the proposed system. Future work is on how to extend the system to determine the level of vigilance of the driver.

Original language	English
Title of host publication	2011 14th International IEEE Conference on Intelligent Transportation Systems, ITSC 2011
Pages	1972-1977
Number of pages	6
DOIs	https://doi.org/10.1109/ITSC.2011.6082890
Publication status	Published - 2011
Event	14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011 - Washington, DC, United States Duration: 2011 Oct 5 → 2011 Oct 7

Publication series

Name	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Conference

Conference	14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011
Country/Territory	United States
City	Washington, DC
Period	2011/10/05 → 2011/10/07

ASJC Scopus subject areas

Automotive Engineering
Mechanical Engineering
Computer Science Applications

Access to Document

10.1109/ITSC.2011.6082890

Cite this

Extracting driver's facial features during driving. / Wang, J. M.; Chou, H. P.; Hsu, C. F. et al.
2011 14th International IEEE Conference on Intelligent Transportation Systems, ITSC 2011. 2011. p. 1972-1977 6082890 (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC).

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

Wang, JM, Chou, HP, Hsu, CF, Chen, SW & Fuh, CS 2011, Extracting driver's facial features during driving. in 2011 14th International IEEE Conference on Intelligent Transportation Systems, ITSC 2011., 6082890, IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 1972-1977, 14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011, Washington, DC, United States, 2011/10/05. https://doi.org/10.1109/ITSC.2011.6082890

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abstract = "In this paper, a vision system for monitoring driver's facial features is presented. To begin, the driver's face is first located in the input video sequence. It is then tracked over the subsequent images. The facial features of eyes, mouth and head are kept detecting in the course of face tracking. Feature detection and tracking are performed in parall so that the precise can be improved. A number of video sequences with the drivers of different ages and genders under various illumination and road conditions were employed to demonstrate the performance of the proposed system. Future work is on how to extend the system to determine the level of vigilance of the driver.",

author = "Wang, {J. M.} and Chou, {H. P.} and Hsu, {C. F.} and Chen, {S. W.} and Fuh, {C. S.}",

year = "2011",

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language = "English",

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note = "14th IEEE International Intelligent Transportation Systems Conference, ITSC 2011 ; Conference date: 05-10-2011 Through 07-10-2011",

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AB - In this paper, a vision system for monitoring driver's facial features is presented. To begin, the driver's face is first located in the input video sequence. It is then tracked over the subsequent images. The facial features of eyes, mouth and head are kept detecting in the course of face tracking. Feature detection and tracking are performed in parall so that the precise can be improved. A number of video sequences with the drivers of different ages and genders under various illumination and road conditions were employed to demonstrate the performance of the proposed system. Future work is on how to extend the system to determine the level of vigilance of the driver.

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Extracting driver's facial features during driving

Abstract

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Conference

ASJC Scopus subject areas

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