Facial Feature Points Extraction for Driver Monitoring System with Depth Camera
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- Uchida Naoko
- Faculty of Engineering, Kumamoto University
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- HU Zhencheng
- Graduate School of Science and Technology, Kumamoto University
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- Yoshitomi Hitoshi
- Graduate School of Science and Technology, Kumamoto University
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- Dong Yanchao
- School of Electronics and Information Engineering, Tongji University
Bibliographic Information
- Other Title
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- 漫然運転防止のための深度カメラを用いた顔特徴点の検出(学生若手発表,学生若手発表および一般)
- 漫然運転防止のための深度カメラを用いた顔特徴点の検出
- マンゼン ウンテン ボウシ ノ タメ ノ シンド カメラ オ モチイタ カオ トクチョウテン ノ ケンシュツ
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Abstract
The traffic accident occurs due to aimless driving such as the driver's looking aside, fatigue, and a nap. In this research, we aim at development a system that can judge the aimless driving by driver's facial feature point. Usually RGB images are used for facial feature point's detection. But they are influenced by environment light, so in the car with a large change of environment light, the detection of the stable facial feature point is difficult. In this paper, we use depth information that is not influenced by changing light for facial and nose region detection.
Journal
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- ITE Technical Report
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ITE Technical Report 37.4 (0), 9-12, 2013
The Institute of Image Information and Television Engineers
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Details 詳細情報について
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- CRID
- 1390282679506728960
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- NII Article ID
- 110009594581
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- NII Book ID
- AN1059086X
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- ISSN
- 24241970
- 13426893
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- NDL BIB ID
- 024272207
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed
