Curve spreads: a biometric from front-view gait video

Authors:
Maricor Soriano;Alessandra Araullo;Caesar Saloma
Affiliations:
National Institute of Physics, University of the Philippines Diliman, P.O. Box 330, 1101 Quezon City, Philippines;National Institute of Physics, University of the Philippines Diliman, P.O. Box 330, 1101 Quezon City, Philippines;National Institute of Physics, University of the Philippines Diliman, P.O. Box 330, 1101 Quezon City, Philippines
Venue:
Pattern Recognition Letters
Year:
2004

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Abstract

We introduce the curve spread as an efficient descriptor of front-view gait of humans walking towards a camera. The curve spread is a compact two-dimensional representation of the time-variations of a moving body outline. Most gait biometrics employ features derived from side-view videos because limb swings are more pronounced from the side than from the front. However, side-view observations are often impractical and incompatible with the ability of humans to recognize others from front-view gait. Identification tests using cross correlation of curve spreads of 12 videos from 4 walking subjects, yielded 100% recognition rate.