Footwear for gender recognition

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 20, Issue 1, 2010, Pages 131-135

  Yuan, Yuan ^a   Pang, Yanwei ^b   Li, Xuelong ^c  

^a ASTON UNIVERSITY   (United Kingdom)

^b TIANJIN UNIVERSITY   (China)

^c XI AN INSTITUTE OF OPTICS AND PRECISION MECHANICS   (China)

Author keywords

Biometrics; Footwear; Gender recognition; Shoes

Indexed keywords

FOOTWEAR; GENDER RECOGNITION; PROCESSING TIME;

BIOMETRICS;

FACE RECOGNITION;

EID: 74249092996     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2009.2022795     Document Type: Article

References (18)

1. X. Li, S. J. Maybank, S. Yan, D. Tao, and D. Xu, "Gait components and their application to gender recognition," IEEE Trans. Syst., Man, Cybern. C, Applicat. Rev., vol.38, no.2, pp. 145-155, Mar. 2008.
2. D. Tao, M. Song, X. Li, J. Shen, J. Sun, X. Wu, C. Faloutsos, and S. J. Maybank, "Bayesian tensor approach for 3-D face modeling," IEEE Trans. Circuits Syst. Video Technol., vol.18, no.10, pp. 1397-1410, Oct. 2008.
3. D. Xu, S. Yan, D. Tao, L. Zhang, X. Li, and H. J. Zhang, "Human gait recognition with matrix representation," IEEE Trans. Circuits Syst. Video Technol., vol.16, no.7, pp. 896-903, Jul. 2006. (Pubitemid 44192205)
4. P. Belhumeur, J. Hespanha, and D. Kriengman, "Eigenfaces versus fisherfaces: Recognition using class specific linear projections," IEEE Trans. Pattern Anal. Mach. Intell., vol.19, no.7, pp. 771-1720, Jul. 1997.
5. A. Cock, T. Willems, E. Witvrouw, J. Vanrenterghem, and D. Clercq, "A functional foot type classification with cluster analysis based on plantar pressure distribution during jogging," Gait Posture, vol.23, no.3, pp. 339-347, 2006.
6. T. F. Cootes, C. Taylor, D. Cooper, and J. Graham, "Active shape models their training and their applications," Comput. Vision Image Understanding, vol.61, no.1, pp. 38-59, Jan. 1995.
7. N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, 1st ed. Cambridge, U.K.: Cambridge Univ., 2000, ch. 6, sec. 6.1, pp. 93-112.
8. N. Dalal, "Finding people in images and videos," Ph.D. thesis, Inst. Nat'l Polytechnique de Grenoble, Saint-Ismier, France, Jul. 2006.
9. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Proc. IEEE Conf. Comput. Vision Pattern Recognition, vol.1. San Diego, CA, Jun. 2005, pp. 886-893.
10. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vision, vol.60, no.2, pp. 91-110, Nov. 2004.
11. B. Moghaddam and M. Yang, "Learning gender with support faces," IEEE Trans. Pattern Anal. Mach. Intell., vol.24, no.5, pp. 707-711, May 2002.
12. Z. Sun, X. Yuan, G. Bebis, and S. Louis, "Neural-network-based gender classification using genetic eigen-feature extraction," in Proc. IEEE Int. Joint Conf. Neural Network, vol.3. Honoloulu, HI, May 2002, pp. 2433-2438.
13. M. Turk and A. Pentland, "Eigenfaces for recognition," J. Cognitive Neurosci., vol.3, no.1, pp. 71-86, Mar. 1991.
14. J. Yang and C. Liu, "Horizontal and vertical 2-DPCA-based discriminant analysis for face verification on a large-scale database," IEEE Trans. Inform. Forensics Security, vol.2, no.4, pp. 781-792, Dec. 2007.
15. Q. Zhu, S. Avidan, M. Yeh, and Y. Cheng, "Fast human detection using a cascade of histograms of oriented gradients," in Proc. IEEE Conf. Comput. Vision Pattern Recognition, vol.2. 2006, pp. 1491-1498.
16. T. Zhang, X. Li, D. Tao, and J. Yang, "Multimodal biometrics using geometry preserving projections," Pattern Recognition, vol.41, no.3, pp. 805-813, 2008.
17. D. Xu, X. Li, Z. Liu, and Y. Yuan, "Cast shadow detection in video segmentation," Pattern Recognition Letters, vol.26, no.1, pp. 91-99, 2005.
18. D. Xu, J. Liu, X. Li, Z. Liu, and X. Tang, "Insignificant shadow detection for video segmentation," IEEE Trans. Circuits Syst. Video Technol., vol.15, no.8, pp. 1058-1064, Aug. 2005.