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Silhouette-based human identification from body shape and gait
Open accessAbstract
Our goal is to establish a simple baseline method for human identification based on body shape and gait. This baseline recognition method provides a lower bound against which to evaluate more complicated procedures. We present a viewpoint-dependent technique based on template matching of body silhouettes. Cyclic gait analysis is performed to extract key frames from a test sequence. These frames are compared to training frames using normalized correlation, and subject classification is performed by nearest-neighbor matching among correlation scores. The approach implicitly captures biometric shape cues such as body height, width, and body-part proportions, as well as gait cues such as stride length and amount of arm swing. We evaluate the method on four databases with varying viewing angles, background conditions (indoors and outdoors), walking styles and pixels on target.
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Cited by
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
A review of biometric technology along with trends and prospects
Unar, J. A., Seng, W. C., & Abbasi, A. (2014) · Pattern Recognition · doi:10.1016/j.patcog.2014.01.016 · Cited by 404
Fusion of Static and Dynamic Body Biometrics for Gait Recognition
Wang, L., Ning, H., Tan, T., & Hu, W. (2004) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2003.821972 · Cited by 377
Automatic gait recognition based on statistical shape analysis
Wang, L., Tan, T., Hu, W., & Ning, H. (2003) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.815251 · Cited by 334
Gait Components and Their Application to Gender Recognition
Li, X., Maybank, S. J., Yan, S., Tao, D., & Xu, D. (2008) · IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2007.913886 · Cited by 300
Metadata
- Authors
- Collins, R. T., Gross, R., & Shi, J.
- Venue
- Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition
- Publisher
- IEEE
- Published
- 2003-06-25
- Pages
- 366-371
- OpenAlex
- W2129887056
- Cited by
- 500
- References
- 0
- FWCI
- 69.13
- Type
- conference paper
- Language
- en
- Open access
- green
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- Collins, R. T., Gross, R., & Shi, J. (2003). Silhouette-based human identification from body shape and gait. Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition. https://doi.org/10.1109/afgr.2002.1004181
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