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Analyzing and recognizing walking figures in XYT
Abstract
We describe a novel algorithm for gait analysis. A person walking frontoparallel to the image plane generates a characteristic "braided" pattern in a spatiotemporal (XYT) volume. Our algorithm detects this pattern, and fits it with a set of spatiotemporal snakes. The snakes can be used to find the bounding contours of the walker. The contours vary over time in a manner characteristic of each walker. Individual gaits can be recognized by applying standard pattern recognition techniques to the contour signals.>
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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
Human motion tracking for rehabilitation-A survey
Zhou, H., & Hu, H. (2008) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2007.09.001 · Cited by 813
(2001) · Cited by 555
GEINet: View-invariant gait recognition using a convolutional neural network
Shiraga, K., Makihara, Y., Muramatsu, D., Echigo, T., & Yagi, Y. (2016) · 2016 International Conference on Biometrics (ICB) · doi:10.1109/icb.2016.7550060 · Cited by 468
Gait Recognition Using a View Transformation Model in the Frequency Domain
Makihara, Y., Sagawa, R., Mukaigawa, Y., Echigo, T., & Yagi, Y. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744078_12 · Cited by 392
Metadata
- Authors
- Niyogi, & Adelson
- Venue
- Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94
- Publisher
- IEEE Comput. Soc. Press
- Published
- 1994
- Pages
- 469-474
- OpenAlex
- W2161315665
- Cited by
- 572
- References
- 0
- FWCI
- 29.80
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Niyogi, & Adelson. (1994). Analyzing and recognizing walking figures in XYT. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94. https://doi.org/10.1109/cvpr.1994.323868
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