Curve spreads––a biometric from front-view gait video

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• 作者：Soriano ; Maricor ; Araullo ; Alessandra ; Saloma ; Caesar
• 关键词：Biometrics ; Front-view gait ; Moving object description
• 刊名：Pattern Recognition Letters
• 出版年：2004
• 出版时间：October 15, 2004
• 年：2004
• 卷：25
• 期：14
• 页码：1595-1602
• 全文大小：411 K

文摘

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.