On using gait in forensic biometrics

Journal of Forensic Sciences

Volumn 56, Issue 4, 2011, Pages 882-889

  Bouchrika, Imed ^a   Goffredo, Michaela ^b   Carter, John ^a   Nixon, Mark ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b ROMA TRE UNIVERSITY   (Italy)

Author keywords

Forensic science; Gait analysis; Gait biometrics; People identification; Posture matching; Visual surveillance

Indexed keywords

ALGORITHM; ARTICLE; BIOMECHANICS; BIOMETRY; COMPUTER PROGRAM; FACTUAL DATABASE; FORENSIC SCIENCE; GAIT; HUMAN; METHODOLOGY; PHYSIOLOGY; RECEIVER OPERATING CHARACTERISTIC; VIDEORECORDING;

ALGORITHMS; BIOMECHANICS; BIOMETRIC IDENTIFICATION; DATABASES, FACTUAL; FORENSIC SCIENCES; GAIT; HUMANS; ROC CURVE; SOFTWARE; VIDEOTAPE RECORDING;

EID: 79960066196     PISSN: 00221198     EISSN: 15564029     Source Type: Journal    
DOI: 10.1111/j.1556-4029.2011.01793.x     Document Type: Article

References (15)

1. Nixon MS, Tan TN, Chellappa R, editors. Human identification based on gait (The Kluwer International Series on Biometrics). New York, NY: Springer-Verlag, 2005.
2. Jain AK, Bolle R, Pankanti S, editors. Biometrics: personal identification in networked society. New York, NY: Springer, 1999.
3. Murray MP, Drought AB, Kory RC. Walking patterns of normal men. J Bone Joint Surg 1964;46:335-60.
4. Murray MP. Gait as a total pattern of movement. Am J Phys Med 1967;46(1):290-333.
5. Kozlowski LT, Cutting JE. Recognizing the gender of walkers from point-lights mounted on ankles: some second thoughts. Perc Psych 1978;23:459.
6. Kale K, Rajagopalan AN, Cuntoor N, Kruger V. Gait-based recognition of humans using continuous HMMs. Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition; 2001 May 21; Washington, DC: IEEE Explore Digital Library, 2002;336-41.
7. Larsen PK, Simonsen EB, Lynnerup N. Gait analysis in forensic medicine. J Forensic Sci 2008;53(5):1149-53.
8. Lynnerup N, Vedel J. Person identification by gait analysis and photogrammetry. J Forensic Sci 2005;50:112-8.
9. BBC. How can you identify a criminal by the way they walk? BBC Magazine 2008, (accessed April 14, 2011).
10. Oren M, Papageorgiou C, Sinha C, Osuna E, Poggio T. Pedestrian detection using wavelet templates. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; 1997 June 17-19; San Juan, Puerto Rico; IEEE Explore Digital Library, 1997;193-9.
11. Bouchrika I, Carter JN, Nixon MS. Recognizing people in non-intersecting camera views. Proceedings of the 3rd International Conference on Imaging for Crime Detection and Prevention; 2009 Dec 3; Kingston University, London, UK: IEEE Explore Digital Library, 2010;1-6.
12. Goffredo M, Bouchrika I, Carter JN, Nixon MS. Performance analysis for automated gait extraction and recognition in multi-camera surveillance. J Multimed Tools Appl 2009, (accessed April 14, 2011).
13. Yu S, Tan D, Tan T. A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition. Proceedings of the 18th International Conference on Pattern Recognition; 2006 Aug 20-24; Hong Kong, 2006;441-4.
14. Cunado D, Nixon MS, Carter JN. Automatic extraction and description of human gait models for recognition purposes. Comput Vis Image Underst 2003;90(1):1-41.
15. Wagg DK, Nixon MS. On automated model-based extraction and analysis of gait. Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition; 2004 May 17-19; Seoul, Korea: IEEE Explore Digital Library, 2004;11-6.