Abstract
Gait Recognition is a non-invasive biometric technique for identifying persons through the way they walk. Currently there are many Gait Recognition methods, most of them based on a similarity function. In this paper, we propose two new methods for Gait Recognition based on silhouette and contour, using a classifier ensemble. Experimental results on a public standard database are shown and compared against others Gait Recognition methods. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Romero-Moreno, M., Martínez-Trinidad, J. F., & Carrasco-Ochoa, J. A. (2008). Gait Recognition based on silhouette, contour and classifier ensembles. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5197 LNCS, pp. 527–534). https://doi.org/10.1007/978-3-540-85920-8_64
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