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 me...
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Published in | Journal of forensic sciences Vol. 56; no. 4; pp. 882 - 889 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.07.2011
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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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 International Airport, laboratory images from the multiview CASIA‐B data set, 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. |
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AbstractList | : 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 International Airport, laboratory images from the multiview CASIA‐B data set, 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. 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 International Airport, laboratory images from the multiview CASIA-B data set, 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. [PUBLICATION 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 International Airport, laboratory images from the multiview CASIA-B data set, 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.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 International Airport, laboratory images from the multiview CASIA-B data set, 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. 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 International Airport, laboratory images from the multiview CASIA-B data set, 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. |
Author | Carter, John Nixon, Mark Goffredo, Michaela Bouchrika, Imed |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21554307$$D View this record in MEDLINE/PubMed |
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References_xml | – reference: Larsen PK, Simonsen EB, Lynnerup N. Gait analysis in forensic medicine. J Forensic Sci 2008;53(5):1149-53. – reference: Lynnerup N, Vedel J. Person identification by gait analysis and photogrammetry. J Forensic Sci 2005;50:112-8. – reference: Jain AK, Bolle R, Pankanti S, editors. Biometrics: personal identification in networked society. New York, NY: Springer, 1999. – reference: BBC. How can you identify a criminal by the way they walk? BBC Magazine 2008, http://news.bbc.co.uk/1/hi/magazine/7348164.stm (accessed April 14, 2011). – reference: Nixon MS, Tan TN, Chellappa R, editors. Human identification based on gait (The Kluwer International Series on Biometrics). New York, NY: Springer-Verlag, 2005. – reference: Murray MP, Drought AB, Kory RC. Walking patterns of normal men. J Bone Joint Surg 1964;46:335-60. – reference: Kozlowski LT, Cutting JE. Recognizing the gender of walkers from point-lights mounted on ankles: some second thoughts. 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Snippet | : Given the continuing advances in gait biometrics, it appears prudent to investigate the translation of these techniques for forensic use. We address the... Given the continuing advances in gait biometrics, it appears prudent to investigate the translation of these techniques for forensic use. We address the... |
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SubjectTerms | Algorithms Biomechanical Phenomena Biometric Identification - methods Biometrics Confidence Databases, Factual Forensic engineering forensic science Forensic sciences Forensic Sciences - methods Gait Gait - physiology gait analysis gait biometrics Humans Kinematics Measurement people identification posture matching ROC Curve Software Translations Videotape Recording visual surveillance |
Title | On Using Gait in Forensic Biometrics |
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