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ACCV
2007
Springer

Gait Identification Based on Multi-view Observations Using Omnidirectional Camera

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Gait Identification Based on Multi-view Observations Using Omnidirectional Camera
Abstract. We propose a method of gait identification based on multiview gait images using an omnidirectional camera. We first transform omnidirectional silhouette images into panoramic ones and obtain a spatiotemporal Gait Silhouette Volume (GSV). Next, we extract frequencydomain features by Fourier analysis based on gait periods estimated by autocorrelation of the GSVs. Because the omnidirectional camera makes it possible to observe a straight-walking person from various views, multiview features can be extracted from the GSVs composed of multi-view images. In an identification phase, distance between a probe and a gallery feature of the same view is calculated, and then these for all views are integrated for matching. Experiments of gait identification including 15 subjects from 5 views demonstrate the effectiveness of the proposed method.
Kazushige Sugiura, Yasushi Makihara, Yasushi Yagi
Added 12 Aug 2010
Updated 12 Aug 2010
Type Conference
Year 2007
Where ACCV
Authors Kazushige Sugiura, Yasushi Makihara, Yasushi Yagi
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