The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Gait Components and Their Application to Gender Recognition
Abstract
Human gait is a promising biometrics resource. In this paper, the information about gait is obtained from the motions of the different parts of the silhouette. The human silhouette is segmented into seven components, namely head, arm, trunk, thigh, front-leg, back-leg, and feet. The leg silhouettes for the front-leg and the back-leg are considered separately because, during walking, the left leg and the right leg are in front or at the back by turns. Each of the seven components and a number of combinations of the components are then studied with regard to two useful applications: human identification (ID) recognition and gender recognition. More than 500 different experiments on human ID and gender recognition are carried out under a wide range of circumstances. The effectiveness of the seven human gait components for ID and gender recognition is analyzed.
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Cites
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Self-citationA Survey on Visual Surveillance of Object Motion and Behaviors
Hu, W., Tan, T., Wang, L., & Maybank, S. (2004) · IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2004.829274 · Cited by 2,132
Self-citationThe Visual Analysis of Human Movement: A Survey
Gavrila, D. M. (1999) · Computer Vision and Image Understanding · doi:10.1006/cviu.1998.0716 · Cited by 1,782
A Survey of Computer Vision-Based Human Motion Capture
Moeslund, T. B., & Granum, E. (2001) · Computer Vision and Image Understanding · doi:10.1006/cviu.2000.0897 · Cited by 1,768
Human motion analysis: a review
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Silhouette analysis-based gait recognition for human identification
Wang, L., Tan, T., Ning, H., & Hu, W. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1251144 · Cited by 1,202
Human Motion Analysis: A Review
Aggarwal, J. K., & Cai, Q. (1999) · Computer Vision and Image Understanding · doi:10.1006/cviu.1998.0744 · Cited by 1,156
The humanID gait challenge problem: data sets, performance, and analysis
Sarkar, S., Phillips, P. J., Liu, Z., Vega, I. R., Grother, P., & Bowyer, K. W. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.39 · Cited by 1,133
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Gait analysis for recognition and classification
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A Study on Gait-Based Gender Classification
Yu, S., Tan, T., Huang, K., Jia, K., & Wu, X. (2009) · IEEE Transactions on Image Processing · doi:10.1109/tip.2009.2020535 · Cited by 293
The OU-ISIR Gait Database Comprising the Treadmill Dataset
Makihara, Y., Mannami, H., Tsuji, A., Hossain, M. A., Sugiura, K., Mori, A., & Yagi, Y. (2012) · IPSJ Transactions on Computer Vision and Applications · doi:10.2197/ipsjtcva.4.53 · Cited by 237
A new soft biometric approach for keystroke dynamics based on gender recognition
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Metadata
- Authors
- Li, X., Maybank, S. J., Yan, S., Tao, D., & Xu, D.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
- Published
- 2008-03
- Volume
- 38
- Issue
- 2
- Pages
- 145-155
- ISSN
- 1094-6977 (ISSN-L)
- OpenAlex
- W2102742858
- Cited by
- 300
- References
- 38
- FWCI
- 15.99
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, X., Maybank, S. J., Yan, S., Tao, D., & Xu, D. (2008). Gait Components and Their Application to Gender Recognition. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). https://doi.org/10.1109/tsmcc.2007.913886
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