Gait recognition in the presence of occlusion: A new dataset and baseline algorithms

Martin Hofmann, Shamik Sural, Gerhard Rigoll

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

43 Zitate (Scopus)

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.

OriginalspracheEnglisch
Titel19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2011 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings
Seiten99-104
Seitenumfang6
PublikationsstatusVeröffentlicht - 2011
Veranstaltung19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2011 - Plzen, Tschechische Republik
Dauer: 31 Jan. 20113 Feb. 2011

Publikationsreihe

Name19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2011 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings

Konferenz

Konferenz19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2011
Land/GebietTschechische Republik
OrtPlzen
Zeitraum31/01/113/02/11

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