Mr. Sang Kyoon Kim Profile

Sang Kyoon Kim

at Mokpo National Univ

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Proceedings Article | 27 February 2015 Paper

Human action classification using procrustes shape theory

Wanhyun Cho, Sangkyoon Kim, Soonyoung Park, Myungeun Lee

Proceedings Volume 9405, 94050T (2015) https://doi.org/10.1117/12.2083161

KEYWORDS: Video, Video surveillance, Databases, Shape analysis, Matrices, Image classification, Wavelets, Vector spaces, Machine vision, Human-computer interaction

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In this paper, we propose new method that can classify a human action using Procrustes shape theory. First, we extract a pre-shape configuration vector of landmarks from each frame of an image sequence representing an arbitrary human action, and then we have derived the Procrustes fit vector for pre-shape configuration vector. Second, we extract a set of pre-shape vectors from tanning sample stored at database, and we compute a Procrustes mean shape vector for these preshape vectors. Third, we extract a sequence of the pre-shape vectors from input video, and we project this sequence of pre-shape vectors on the tangent space with respect to the pole taking as a sequence of mean shape vectors corresponding with a target video. And we calculate the Procrustes distance between two sequences of the projection pre-shape vectors on the tangent space and the mean shape vectors. Finally, we classify the input video into the human action class with minimum Procrustes distance. We assess a performance of the proposed method using one public dataset, namely Weizmann human action dataset. Experimental results reveal that the proposed method performs very good on this dataset.

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