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

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3 Author(s)
Zhang, Y.Y. ; Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan ; Wu, X.J. ; Ruan, Q.Q.

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.

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Electronics Letters  (Volume:45 ,  Issue: 13 )