DocumentCode :
2387503
Title :
A qualitative approach to classifying head and eye pose
Author :
Beardsley, P.A.
Author_Institution :
MERL, Cambridge, UK
fYear :
1998
fDate :
19-21 Oct 1998
Firstpage :
208
Lastpage :
213
Abstract :
The goal of this work is to classify the focus of attention of a subject who is switching his or her attention between a number of surrounding objects. The specific application is to classify, the focus of attention of a car driver as straightahead, towards the dashboard, or towards one of the mirrors. A quantitative approach to this problem requires (a) a priori information about the interior geometry of the car and the calibration of the camera, and (b) accurate computation of the subject´s location and eye direction. This paper describes an alternative, qualitative, approach. The driver is observed over an extended period of time, and frequently occurring view directions are identified . Each of the frequent view directions is associated with its most likely target-dashboard, rear-view mirror etc. The head pose of the driver in any subsequent image is then classified by relating it to one of these labelled view directions. The head pose classification is augmented with a qualitative measurement of the eye pose
Keywords :
computer vision; image classification; a priori information; eye pose classification; head classification; qualitative approach; Calibration; Cameras; Focusing; Head; Information geometry; Mirrors; Safety; Sensor systems; Solid modeling; Vehicle driving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Computer Vision, 1998. WACV '98. Proceedings., Fourth IEEE Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-8186-8606-5
Type :
conf
DOI :
10.1109/ACV.1998.732881
Filename :
732881
Link To Document :
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