The University of Southampton
University of Southampton Institutional Repository

On Using Gait in Forensic Biometrics

On Using Gait in Forensic Biometrics
On Using Gait in Forensic Biometrics
Given the continuing advances in gait biometrics, it appears prudent to investigate the translation of these techniques for forensic use. We address the question as to the confidence that might be given between any two such measurements. We use the locations of ankle, knee and hip to derive a measure of the match between walking subjects in image sequences. The Instantaneous Posture Match algorithm, using Harr templates, kinematics and anthropomorphic knowledge is used to determine their location. This is demonstrated using real CCTV recorded at Gatwick Airport, laboratory images from the multi-view CASIA-B dataset and an example of real scene of crime video. To access the measurement confidence we study the mean intra- and inter-match scores as a function of database size. These measures converge to constant and separate values, indicating that the match measure derived from individual comparisons is considerably smaller than the average match measure from a population.
forensic science, gait analysis, gait biometrics, posture matching, people identification, visual surveillance
0022-1198
882-889
Bouchrika, Imed
584a502f-829f-4acc-9200-e42f60e42bf0
Goffredo, Michaela
8ffc3ed8-1d58-4d5c-bc20-9797cadb365b
Carter, John
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Bouchrika, Imed
584a502f-829f-4acc-9200-e42f60e42bf0
Goffredo, Michaela
8ffc3ed8-1d58-4d5c-bc20-9797cadb365b
Carter, John
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12

Bouchrika, Imed, Goffredo, Michaela, Carter, John and Nixon, Mark (2011) On Using Gait in Forensic Biometrics. Journal of Forensic Sciences, 56 (4), 882-889. (doi:10.1111/j.1556-4029.2011.01793.x).

Record type: Article

Abstract

Given the continuing advances in gait biometrics, it appears prudent to investigate the translation of these techniques for forensic use. We address the question as to the confidence that might be given between any two such measurements. We use the locations of ankle, knee and hip to derive a measure of the match between walking subjects in image sequences. The Instantaneous Posture Match algorithm, using Harr templates, kinematics and anthropomorphic knowledge is used to determine their location. This is demonstrated using real CCTV recorded at Gatwick Airport, laboratory images from the multi-view CASIA-B dataset and an example of real scene of crime video. To access the measurement confidence we study the mean intra- and inter-match scores as a function of database size. These measures converge to constant and separate values, indicating that the match measure derived from individual comparisons is considerably smaller than the average match measure from a population.

PDF
bouchrika_forensic.pdf - Version of Record
Restricted to Repository staff only
Request a copy

More information

e-pub ahead of print date: 6 May 2011
Published date: July 2011
Keywords: forensic science, gait analysis, gait biometrics, posture matching, people identification, visual surveillance
Organisations: Vision, Learning and Control

Identifiers

Local EPrints ID: 272273
URI: https://eprints.soton.ac.uk/id/eprint/272273
ISSN: 0022-1198
PURE UUID: ce01048e-9eec-427a-9251-75d2a0261ff8
ORCID for Mark Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 11 May 2011 11:45
Last modified: 06 Jun 2018 13:18

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×