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Gait Patterns for Crime Fighting: Statistical Evaluation

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dc.title Gait Patterns for Crime Fighting: Statistical Evaluation en
dc.contributor.author Sulovská, Kateřina
dc.contributor.author Bělašková, Silvie
dc.contributor.author Adámek, Milan
dc.relation.ispartof Optics and Photonics for Counterterrorism, Crime Fighting and Defence IX; And Optical Materials and Biomaterials in Security and Defence Systems Technology X
dc.identifier.issn 0277-786X OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.identifier.issn 978-0-8194-9770-3 OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.date.issued 2013
utb.relation.volume 8901
dc.event.title Conference on Optics and Photonics for Counterterrorism, Crime Fighting and Defence IX; and Optical Materials and Biomaterials in Security and Defence Systems Technology X
dc.event.location Dresden
utb.event.state-en Germany
utb.event.state-cs Německo
dc.event.sdate 2013-09-23
dc.event.edate 2013-09-25
dc.type conferenceObject
dc.language.iso en
dc.publisher International Society for Optical Engineering (SPIE) en
dc.identifier.doi 10.1117/12.2033323
dc.relation.uri http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1757361
dc.subject identification en
dc.subject bipedal locomotion (gait) en
dc.subject biometrics en
dc.subject statistics en
dc.subject metronome en
dc.subject music en
dc.subject exercise en
dc.subject VICON en
dc.description.abstract The criminality is omnipresent during the human history. Modern technology brings novel opportunities for identification of a perpetrator. One of these opportunities is an analysis of video recordings, which may be taken during the crime itself or before/after the crime. The video analysis can be classed as identification analyses, respectively identification of a person via externals. The bipedal locomotion focuses on human movement on the basis of their anatomical-physiological features. Nowadays, the human gait is tested by many laboratories to learn whether the identification via bipedal locomotion is possible or not. The aim of our study is to use 2D components out of 3D data from the VICON Mocap system for deep statistical analyses. This paper introduces recent results of a fundamental study focused on various gait patterns during different conditions. The study contains data from 12 participants. Curves obtained from these measurements were sorted, averaged and statistically tested to estimate the stability and distinctiveness of this biometrics. Results show satisfactory distinctness of some chosen points, while some do not embody significant difference. However, results presented in this paper are of initial phase of further deeper and more exacting analyses of gait patterns under different conditions. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003585
utb.identifier.obdid 43870028
utb.identifier.scopus 2-s2.0-84890069050
utb.identifier.wok 000327339000016
utb.source d-wok
dc.date.accessioned 2013-12-30T12:31:14Z
dc.date.available 2013-12-30T12:31:14Z
dc.rights.access openAccess
utb.contributor.internalauthor Sulovská, Kateřina
utb.contributor.internalauthor Bělašková, Silvie
utb.contributor.internalauthor Adámek, Milan
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