Covariance analysis for evaluating head trackers

Title
Covariance analysis for evaluating head trackers
Authors
강동훈
Keywords
head orientation; covariance; uncertainty; evaluation
Issue Date
2017-10
Publisher
Optical engineering
Citation
VOL 56, NO 10-103105-5
Abstract
Existing methods for evaluating the performance of head trackers usually rely on publicly available face databases, which contain facial images and the ground truths of their corresponding head orientations. However, most of the existing publicly available face databases are constructed by assuming that a frontal head orientation can be determined by compelling the person under examination to look straight ahead at the camera on the first video frame. Since nobody can accurately direct one’s head toward the camera, this assumption may be unrealistic. Rather than obtaining estimation errors, we present a method for computing the covariance of estimation error rotations to evaluate the reliability of head trackers. As an uncertainty measure of estimators, the Schatten 2-norm of a square root of error covariance (or the algebraic average of relative error angles) can be used. The merit of the proposed method is that it does not disturb the person under examination by asking him to direct his head toward certain directions. Experimental results using real data validate the usefulness of our method.
URI
http://pubs.kist.re.kr/handle/201004/66296
ISSN
0091-3286
Appears in Collections:
KIST Publication > Article
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