DocumentCode
359367
Title
An eigenface approach for estimating driver pose
Author
Watta, Paul ; Gandhi, Nitin ; Lakshmanan, Sridhar
Author_Institution
Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA
fYear
2000
fDate
2000
Firstpage
376
Lastpage
381
Abstract
In this paper, we present a non-parametric method which can be used to analyze facial video data of an automobile driver as he or she drives the vehicle. Each frame in the video sequence is classified using an eigenface representation. A database of face pose images is constructed, and experimental results are given which measure the performance of the method on a large test set. Variations in the performance as the number of faces used to train the classifier, as well as the number of eigen coefficients in the representation are varied, are also reported
Keywords
face recognition; human factors; image sequences; psychology; traffic engineering computing; visual databases; automobile driver; database; driver pose estimation; eigen coefficients; eigenface representation; pattern classification; video sequence; Automotive engineering; Driver circuits; Fatigue; Feature extraction; Image databases; Intelligent transportation systems; Safety devices; Testing; Vehicle driving; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Transportation Systems, 2000. Proceedings. 2000 IEEE
Conference_Location
Dearborn, MI
Print_ISBN
0-7803-5971-2
Type
conf
DOI
10.1109/ITSC.2000.881091
Filename
881091
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