ŘEŘUCHA, Šimon a 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 s. ISBN 978-80-87136-04-1.
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Základní údaje
Originální název Driver Fatigue Detection Using Video Recording of Face
Název česky Detekce únavy řidičů pomocí videozáznamu
Název anglicky Driver Fatigue Detection Using Video Recording of Face
Autoři ŘEŘUCHA, Šimon (203 Česká republika, garant) a Ondřej KOTEK (203 Česká republika).
Vydání Praha, Driver Car Interaction & Interface 2008, 4 s. 2008.
Nakladatel Prague: Academy of Sciences of CR, Institute of Computer Science
Další údaje
Originální jazyk čeština
Typ výsledku Stať ve sborníku
Obor 10201 Computer sciences, information science, bioinformatics
Stát vydavatele Česká republika
Utajení není předmětem státního či obchodního tajemství
Kód RIV RIV/00216224:14330/08:00027934
Organizační jednotka Fakulta informatiky
ISBN 978-80-87136-04-1
Klíčová slova anglicky fatigue detection; Active Appearance Model; man-machine system; operator support; statistics
Štítky Active Appearance Model, fatigue detection, man-machine system, operator support, statistics
Příznaky Mezinárodní význam
Změnil Změnil: Mgr. Šimon Řeřucha, Ph.D., učo 60382. Změněno: 30. 4. 2009 00:43.
Anotace
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.
Anotace anglicky
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.
Návaznosti
ME 949, projekt VaVNázev: Analysis of negative impacts on driver attention
Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Analýza negativních vlivů na pozornost řidičů, Program výzkumu a vývoje KONTAKT (ME)
VytisknoutZobrazeno: 23. 9. 2024 21:30