18th International Conference on Pattern Recognition (ICPR'06) Volume 3 Human Identification by Using the Motion and Static Characteristic of Gait Hong Kong August 20-August 24 ISBN: 0-7695-2521-0
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.637
In this paper, we propose a gait recognition algorithm that fuses motion and static spatio-temporal templates of sequences of silhouette images, the Motion Silhouette Contour Templates (MSCTs) and Static Silhouette Templates (SSTs). The performance of the proposed algorithm is evaluated experimentally using the SOTON dataset and the USF dataset. The proposed algorithm has a recognition rate of around 80% in intrinsic difference group (Probe A-C) of USF dataset which is 14% higher than the baseline algorithm.
Citation:
Toby H.W. Lam, Raymond S.T. Lee, "Human Identification by Using the Motion and Static Characteristic of Gait," icpr, vol. 3, pp.996-999, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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