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On Using Gait in Forensic Biometrics

NCJ Number
235783
Journal
Journal of Forensic Sciences Volume: 56 Issue: 4 Dated: July 2011 Pages: 882-889
Author(s)
Imed Bouchrika, Ph.D.; Michaela Goffredo, Ph.D.; John Carter, Ph.D.; Mark Nixon, Ph.D.
Date Published
July 2011
Length
8 pages
Annotation
Given the continuing advances in gait biometrics, it appears prudent to investigate the translation of these techniques for forensic use. This study addressed the question as to the confidence that might be given between any two such measurements.
Abstract
The study used 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 International Airport, laboratory images from the multiview CASIA-B dataset, and an example of real scene of crime video. To access the measurement confidence, the authors examined 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. (Published Abstract)