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Robust view-invariant multiscale gait recognition

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Das Choudhury, Sruti and Tjahjadi, Tardi (2015) Robust view-invariant multiscale gait recognition. Pattern Recognition, Volume 48 (Number 3). pp. 798-811. doi:10.1016/j.patcog.2014.09.022 ISSN 0031-3203.

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Official URL: http://dx.doi.org/10.1016/j.patcog.2014.09.022

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Abstract

The paper proposes a two-phase view-invariant multiscale gait recognition method (VI-MGR) which is robust to variation in clothing and presence of a carried item. In phase 1, VI-MGR uses the entropy of the limb region of a gait energy image (GEI) to determine the matching gallery view of the probe using 2-dimensional principal component analysis and Euclidean distance classifier. In phase 2, the probe subject is compared with the matching view of the gallery subjects using multiscale shape analysis. In this phase, VI-MGR applies Gaussian filter to a GEI to generate a multiscale gait image for gradually highlighting the subject׳s inner shape characteristics to achieve insensitiveness to boundary shape alterations due to carrying conditions and clothing variation. A weighted random subspace learning based classification is used to exploit the high dimensionality of the feature space for improved identification by avoiding overlearning. Experimental analyses on public datasets demonstrate the efficacy of VI-MGR.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Gait in humans -- Measurement, Multiscale modeling, Pattern recognition systems
Journal or Publication Title: Pattern Recognition
Publisher: Pergamon
ISSN: 0031-3203
Official Date: March 2015
Dates:
DateEvent
March 2015Published
6 October 2014Available
24 September 2014Accepted
10 September 2013Submitted
Volume: Volume 48
Number: Number 3
Number of Pages: 31
Page Range: pp. 798-811
DOI: 10.1016/j.patcog.2014.09.022
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 28 December 2015
Date of first compliant Open Access: 28 December 2015
Funder: University of Warwick Postgraduate Research Scholarship

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