Title: Gait Recognition in the Presence of Occlusion: A New Dataset and Baseline Algorithms
Authors: Hofmann, Martin
Sural, Shamik
Rigoll, Gerhard
Citation: WSCG '2011: Communication Papers Proceedings: The 19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 99-104.
Issue Date: 2011
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/WSCG2011/!_2011_WSCG-Short_Papers.pdf
ISBN: 978-80-86943-82-4
Keywords: biometrika;rekonstrukce chůze;databáze
Keywords in different language: biometrics;gait reconstruction;database
Abstract: Human gait is an important biometric feature for identification of people. In this paper we present a new dataset for gait recognition. The presented database overcomes a crucial limitation of other state-of-the-art gait recognition databases. More specifically this database addresses the problem of dynamic and static inter object occlusion. Furthermore this dataset offers three new kinds of gait variations, which allow for challenging evaluation of recognition algorithms. In addition to presenting the database we present two baseline algorithms (Color histograms, Gait Energy Image) to perform person identification using gait. These algorithms already show promising results on the presented database.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2011: Communication Papers Proceedings

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