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Profile Face Detection: A Subset Multi-Biometric Approach

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3 Author(s)
Gentile, J.E. ; Univ. of Notre Dame, Notre Dame, IN ; Bowyer, K.W. ; Flynn, P.J.

This paper presents a detection system which uses information from a profile face detector and an ear detector to better localize true profiles. The system was tested on data from a simulated security checkpoint. Drivers' profiles were detected as their vehicles passed the camera. The detection rate for the multi-biometric detector is 95% with an average of 0.15 false detections per image. On the same data, a conventional detector had a detection rate of 97% with an average of 1.8 false detections per image. It is shown that a multi-biometric detector provides a performance boost over conventional detectors.

Published in:

Biometrics: Theory, Applications and Systems, 2008. BTAS 2008. 2nd IEEE International Conference on

Date of Conference:

Sept. 29 2008-Oct. 1 2008

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