TY - GEN
T1 - Driver activity monitoring through supervised and unsupervised learning
AU - Veeraraghavan, Harini
AU - Atev, Stefan
AU - Bird, Nathaniel
AU - Schrater, Paul R
AU - Papanikolopoulos, Nikolaos P
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2005
Y1 - 2005
N2 - This paper presents two different learning methods applied to the task of driver activity monitoring. The goal of the methods is to detect periods of driver activity that are not safe, such as talking on a cellular telephone, eating, or adjusting the dashboard radio system. The system presented here uses a side-mounted camera looking at a driver's profile and utilizes the silhouette appearance obtained from skin-color segmentation for detecting the activities. The unsupervised method uses agglomerative clustering to succinctly represent driver activities throughout a sequence, while the supervised learning method uses a Bayesian eigen-image classifier to distinguish between activities. The results of the two learning methods applied to driving sequences on three different subjects are presented and extensively discussed.
AB - This paper presents two different learning methods applied to the task of driver activity monitoring. The goal of the methods is to detect periods of driver activity that are not safe, such as talking on a cellular telephone, eating, or adjusting the dashboard radio system. The system presented here uses a side-mounted camera looking at a driver's profile and utilizes the silhouette appearance obtained from skin-color segmentation for detecting the activities. The unsupervised method uses agglomerative clustering to succinctly represent driver activities throughout a sequence, while the supervised learning method uses a Bayesian eigen-image classifier to distinguish between activities. The results of the two learning methods applied to driving sequences on three different subjects are presented and extensively discussed.
UR - https://www.scopus.com/pages/publications/33747422505
UR - https://www.scopus.com/pages/publications/33747422505#tab=citedBy
U2 - 10.1109/ITSC.2005.1520169
DO - 10.1109/ITSC.2005.1520169
M3 - Conference contribution
AN - SCOPUS:33747422505
SN - 0780392159
SN - 9780780392151
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 580
EP - 585
BT - ITSC`05
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International IEEE Conference on Intelligent Transportation Systems, ITSC 2005
Y2 - 13 September 2005 through 16 September 2005
ER -