Detailed Information on Publication Record
2008
Driver Fatigue Detection Using Video Recording of Face
ŘEŘUCHA, Šimon and Ondřej KOTEKBasic information
Original name
Driver Fatigue Detection Using Video Recording of Face
Name in Czech
Detekce únavy řidičů pomocí videozáznamu
Name (in English)
Driver Fatigue Detection Using Video Recording of Face
Authors
ŘEŘUCHA, Šimon (203 Czech Republic, guarantor) and Ondřej KOTEK (203 Czech Republic)
Edition
Praha, Driver Car Interaction & Interface 2008, 4 pp. 2008
Publisher
Prague: Academy of Sciences of CR, Institute of Computer Science
Other information
Language
Czech
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
RIV identification code
RIV/00216224:14330/08:00027934
Organization unit
Faculty of Informatics
ISBN
978-80-87136-04-1
Keywords in English
fatigue detection; Active Appearance Model; man-machine system; operator support; statistics
Tags
International impact
Změněno: 30/4/2009 00:43, Mgr. Šimon Řeřucha, Ph.D.
V originále
The safety of road transportation is still a topical issue. The principal problem we aim at is the detection of states when the driver's attention is not sufficient for safe driving using the analysis of video recording that captures driver's face. Our technique divides into several steps that use various methods to solve a part of the problem. The most fundamental is AAM for landmark point extraction, geometric methods for head posture computation, statistic methods for event detection and finally a rule-based expert system for final assessment. Our contribution presents the concept of "visual diagnostics" of a vehicle driver, describe particular steps and discuss methodology and introduce the experiments that validate the function of our approach. The results indicate that the method is suitable for target environment and can reliably provide desired information with sufficient reliability.
In English
The safety of road transportation is still a topical issue. The principal problem we aim at is the detection of states when the driver's attention is not sufficient for safe driving using the analysis of video recording that captures driver's face. Our technique divides into several steps that use various methods to solve a part of the problem. The most fundamental is AAM for landmark point extraction, geometric methods for head posture computation, statistic methods for event detection and finally a rule-based expert system for final assessment. Our contribution presents the concept of "visual diagnostics" of a vehicle driver, describe particular steps and discuss methodology and introduce the experiments that validate the function of our approach. The results indicate that the method is suitable for target environment and can reliably provide desired information with sufficient reliability.
Links
| ME 949, research and development project |
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