Identification and reconstruction of complete gait cycles for person identification in crowded scenes

Martin Hofmann, Daniel Wolf, Gerhard Rigoll

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

11 Scopus citations

Abstract

This paper addresses the problem of gait recognition in the presence of occlusions. Recognition of people using their gait has been an active research area and many successful algorithms have been presented. However to this point non of the methods addresses the problem of occlusion. Most of the current algorithms need a full gait cycle for recognition. In this paper we present a scheme for reconstruction of full gait cycles, which can be used as preprocessing step for any state-of-the-art gait recognition method. We test this on the TUM-IITKGP gait recognition database and show a significant performance gain in the case of occlusions.

Original languageEnglish
Title of host publicationVISAPP 2011 - Proceedings of the International Conference on Computer Vision Theory and Application
Pages594-597
Number of pages4
StatePublished - 2011
EventInternational Conference on Computer Vision Theory and Application, VISAPP 2011 - Vilamoura, Algarve, Portugal
Duration: 5 Mar 20117 Mar 2011

Publication series

NameVISAPP 2011 - Proceedings of the International Conference on Computer Vision Theory and Application

Conference

ConferenceInternational Conference on Computer Vision Theory and Application, VISAPP 2011
Country/TerritoryPortugal
CityVilamoura, Algarve
Period5/03/117/03/11

Keywords

  • Gait cycle reconstruction
  • Gait recognition
  • Graph cuts
  • Occlusions
  • Person identification

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