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Combining procrustes shape analysis and shape context descriptor for silhouette-based gait recognition

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3 Author(s)
Y. Y. Zhang ; School of Information Science and Engineering, Shandong University ; X. J. Wu ; Q. Q. Ruan

A novel and powerful gait recognition algorithm is proposed. The method of procrustes shape analysis is used to produce procrustes mean shape (PMS) as a compressed representation of gait sequence. PMS is regarded as the gait signature for classification. Quite different and novel, instead of using the procrustes mean shape distance as a similarity measure, a novel shape descriptor, shape context, to measure the similarity between two PMS is introduced. Experimental results show that the proposed algorithm outperforms other approaches in terms of recognition accuracy.

Published in:

Electronics Letters  (Volume:45 ,  Issue: 13 )