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

Martin Hofmann, Shamik Sural, Gerhard Rigoll

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

43 Scopus citations

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.

Original languageEnglish
Title of host publication19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2011 - In Co-operation with EUROGRAPHICS, Full Papers Proceedings
Pages99-104
Number of pages6
StatePublished - 2011
Event19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2011 - Plzen, Czech Republic
Duration: 31 Jan 20113 Feb 2011

Publication series

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

Conference

Conference19th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2011
Country/TerritoryCzech Republic
CityPlzen
Period31/01/113/02/11

Keywords

  • Biometrics
  • Database
  • Gait energy image
  • Gait recognition
  • Occlusion

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