Projection function for driver fatigue monitoring with monocular camera

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Projection function for driver fatigue monitoring with monocular camera

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Symposium on Applied Computing archive
Proceedings of the 2007 ACM symposium on Applied computing table of contents

Seoul, Korea

SESSION: Artificial intelligence, computational logic, and image analysis table of contents

Pages: 82 - 83

Year of Publication: 2007

ISBN:1-59593-480-4

Authors

Depei Bao	Tsinghua University, Beijing, China
Zehong Yang	Tsinghua University, Beijing, China
Yixu Song	Tsinghua University, Beijing, China

Sponsor

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

ACM New York, NY, USA

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ABSTRACT

The image projection has been proven to be an effective method for extracting image features. This paper utilizes multiple facial cues extracted by the projection function for driver vigilance monitoring. To measure vigilance, we calculate two metrics: PERCLOS and PERROTAT from facial state estimation. The main advantage of the presented system in contrast to existing ones is the usage of cheap equipment (only one monocular camera) to achieve a good cost-performance ratio and fast computation time.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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