The university of southampton multi-biometric tunnel and introducing a novel 3d gait dataset

BTAS 2008 - IEEE 2nd International Conference on Biometrics: Theory, Applications and Systems

Volumn , Issue , 2008, Pages

  Seely, Richard D ^a   Samangooei, Sina ^a   Middleton, Lee ^a   Carter, John N ^a   Nixon, Mark S ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CAPTURE IMAGES; CLASSIFICATION RATES; DATA SETS; EQUAL ERROR RATE; FEATURE SELECTION; HIGH THROUGHPUT; IEEE-1394; NON-CONTACT; NON-INTRUSIVE; SYSTEM USE; UNIVERSITY OF SOUTHAMPTON;

CAMERAS; THREE DIMENSIONAL; TUNNELS;

BIOMETRICS;

EID: 67549140584     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BTAS.2008.4699353     Document Type: Conference Paper

References (26)

1. B. Bhanu and J. Han. Human recognition on combining kinematic and stationary features. In Proc. AVBPA, volume 2688, pages 600-608. Springer-Verlag, 2003.
2. D. Cunado, M. S. Nixon, and J. N. Carter. Using gait as a biometric, via phase-weighted magnitude spectra. In Proc AVBPA, pages 95-102. Springer-Verlag, 1997.
3. J. Cutting, D. Proffitt, and L. Kozlowski. A biomechanical invariant for gait perception. Experimental Psychology, 4(3):357-372, 1978.
4. R. Gross and J. Shi. The cmu motion of body (mobo) database. Technical Report CMU-RI-TR-01- 18, Robotics Institute, Carnegie Mellon University, June 2001.
5. J. Han and B. Bhanu. Statistical feature fusion for gait-based human recognition. In Proc. CVPR, volume 2, pages 842-847, June 2004.
6. G. Johannson. Visual perception of biological motion and a model for its analysis. Perception and Psychophysics, 14:201-211, October 1973.
7. L. T. Kozlowski and J. E. Cutting. Recognizing the sex of a walker from a dynamic point-light display. Perception & Psychophysics, 21(6):575-580, June 1977.
8. A. Laurentini. The visual hull concept for silhouette-based image understanding. IEEE Trans. PAMI, 16(2): 150-162, February 1994.
9. L. Lee and W. E. L. Grimson. Gait analysis for recognition and classication. In Proc. FGR, pages 155-161. IEEE, 2002.
10. J. J. Little and J. E. Boyd. Describing motion for recognition. In Proc. Computer Vision, pages 235-240, November 1995.
11. Z. Liu and S. Sarkar. Simplest representation yet for gait recognition: averaged silhouette. In Proc. Pattern Recognition, volume 4, pages 211-214, August 2004.
12. G. Mather and L. Murdoch. Gender discrimination in biological motion displays based on dynamic cues. In Biological Sciences, volume 258, pages 273-279. The Royal Society, December 1994.
13. L. Middleton, D. K. Wagg, A. I. Bazin, J. N. Carter, and M. S. Nixon. Developing a non-intrusive biometric environment. In Proc. Intelligent Robots and Systems, pages 723-728, October 2006.
14. H. Murase and R. Sakai. Moving object recognition in eigenspace representation: gait analysis and lip reading. Pattern Recognition Letters, 17(2): 155-162, February 1996.
15. M. P. Murray, A. B. Drought, and R. C. Kory. Walking patterns of normal men. Bone & Joint Surgery, 46: 335-360, 1964.
16. M. S. Nixon and J. N. Carter. Automatic recognition by gait. Proc. IEEE, 94(11):2013-2024, November 2006.
17. M. S. Nixon, T. Tan, and R. Chellappa. Human Identification Based on Gait. International Series on Biometrics. Springer, 2006. ISBN 0-387-24424-7.
18. S. A. Niyogi and E. H. Adelson. Analyzing and recognizing walking figures in xyt. In Proc. CVPR, pages 469-474, June 1994.
19. C. Orrite-Uruñuela, J. M. del Rincón, J. E. Herrero-Jaraba, and G. Rogez. 2d silhouette and 3d skeletal models for human detection and tracking. In Proc. Pattern Recognition, volume 4, pages 244-247, 2004.
20. P. J. Phillips, S. Sarkar, I. Robledo, P. Grother, and K. W. Bowyer. The gait identification challenge problem: data sets and baseline algorithm. In Proc. Pattern Recognition, volume 1, pages 385-388, 2002.
21. S. Sarkar, P. J. Phillips, Z. Liu, I. R. Vega, P. Grother, and K. W. Bowyer. The human ID gait challenge problem: data sets, performance, and analysis. IEEE Trans. PAMI, 27(2): 162-177, February 2005.
22. G. Shakhnarovich, L. Lee, and T. Darrell. Integrated face and gait recognition from multiple views. In Proc. CVPR, volume 1, pages 439-446, 2001.
23. J. D. Shutler, M. G. Grant, M. S. Nixon, and J. N. Carter. On a large sequence-based human gait database. In Proc. Recent Advances in Soft Computing, pages 66-72, 2002.
24. G. V. Veres, L. Gordon, J. N. Carter, and M. S. Nixon. What image information is important in silhouette- based gait recognition? In Proc. CVPR, volume 2, pages 776-782, 2004.
25. L. Wang, H. Ning, W. Hu, and T. Tan. Gait recognition based on procrustes shape analysis. In Proc. Image Processing, volume 3, pages 433-436, 2002.
26. S. Yu, D. Tan, and T. Tan. A framework for evaluating the effect of view angle, clothing and carrying condition on gait recognition. In Proc. Pattern Recognition, volume 4, pages 441-444, 2006.