ŘEŘUCHA, Šimon and Ondřej KOTEK. Driver Fatigue Detection Using Video Recording of Face. In Driver Car Interaction & Interface 2008. Praha: Prague: Academy of Sciences of CR, Institute of Computer Science, 2008, 4 pp. ISBN 978-80-87136-04-1.
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Basic 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
Original language Czech
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
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 Active Appearance Model, fatigue detection, man-machine system, operator support, statistics
Tags International impact
Changed by Changed by: Mgr. Šimon Řeřucha, Ph.D., učo 60382. Changed: 30/4/2009 00:43.
Abstract
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.
Abstract (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 projectName: Analysis of negative impacts on driver attention
Investor: Ministry of Education, Youth and Sports of the CR, Research and Development Programme KONTAKT (ME)
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