Statistical gait recognition via velocity moments

IEE Colloquium (Digest)

Volumn , Issue 18, 2000, Pages 65-69

  Shutler, Jamie D ^a   Nixon, Mark S ^a   Harris, Chris J ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; MATHEMATICAL MODELS; SENSITIVITY ANALYSIS; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS; VELOCITY;

CARTESIAN MOMENTS; SYNTHETIC IMAGERY; TEMPLATES; VELOCITY MOMENTS;

GAIT ANALYSIS;

EID: 6344255315     PISSN: 09633308     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Conference Paper

References (8)

1. M.S. Nixon, J.N. Carter, D. Cunado, P.S. Huang and S.V. Stevenage, Automatic Gait Recognition. Biometrics: Personal Identification in Networked society. Editors A.K. Jain, R. Bolle and S. Pankanti, 1999. pp. 231-250.
2. P. S. Huang, C. J. Harris and M. S. Nixon. Human gait recognition in canonical space using temporal templates. IEE Proc. VISP, 146(2):pp. 93-100, April 1999.
3. P. S. Huang, C. J. Harris and M. S. Nixon. Recognising humans by gait via parametric canonical space. Artificial Intelligence in Engineering, 13:pp. 359-366, 1999.
4. J. J. Little and J. E. Boyd. Recognising people by their gait: The shape of motion. Videre: Journal of computer vision research, 1:pp. 2-32, 1998.
5. M. Hu. Visual Pattern Recognition by Moment Invariants. IRE Trans. on Information Theory, IT-8:pp. 179-187, 1962.
6. M-P. Dubuisson and A.K. Jain. Contour extraction of moving objects in complex outdoor scenes. International Journal of Computer Vision, 14(6):pp. 83-105, 1995.
7. J. M. Nash, J. N. Carter and M. S. Nixon. Extraction of moving articulated-objects by evidence gathering. Proc. BMVC98, 2:pp. 609-618, 1998.
8. J. Neter, M.H. Kutner, C.J. Nachtsheim and W. Wasserman. Applied Linear Statistical Models. Irwin, 4th edition, 1996.