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Pattern Recognition, International Conference on (2010)
Istanbul, Turkey
Aug. 23, 2010 to Aug. 26, 2010
ISSN: 1051-4651
ISBN: 978-0-7695-4109-9
pp: 2198-2201
This paper shows how “Body Motion Signature Analysis” – a new “soft-biometrics” technique – can be used for identity verification. It is able to extract motion features from the upper body of people and estimates so called “super-features” for input to a classifier. We demonstrate how this new technique can be used to identify people just based on their motion, or it can be used to significantly improve “hard-biometrics” techniques. For example, face verification achieves on this domain 6.45% Equal Error Rate (EER), and the combined verification performance of motion features and face reduces the error to 4.96% using an adaptive score-level integration method. The more ambiguous motion-only performance is 17.1% EER.
Identify Verification, Multi-Modal, Face Recognition, Biometrics

G. Williams, C. Bregler, G. Taylor and K. Smolskiy, "Body Motion Analysis for Multi-modal Identity Verification," 2010 20th International Conference on Pattern Recognition (ICPR 2010)(ICPR), Istanbul, 2010, pp. 2198-2201.
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