Driver Monitoring Using Sparse Representation With Part-Based Temporal Face Descriptors

Many driver monitoring systems (DMSs) have been proposed to reduce the risk of human-caused accidents. Traditional DMSs focus on detecting specific predefined abnormal driving behaviors, such as drowsiness or distracted driving, using generic models trained with the data collected during abnormal dr...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2020-01, Vol.21 (1), p.346-361
Hauptverfasser:	Chiou, Chien-Yu, Wang, Wei-Cheng, Lu, Shueh-Chou, Huang, Chun-Rong, Chung, Pau-Choo, Lai, Yun-Yang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accidents Advanced driver assistance systems Computational modeling Distracted driving driver monitoring systems Face Monitoring Mouth Representations Sleep deprivation sparse representation temporal face descriptors Vehicles
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