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Human Gait Recognition Using Bag of Words Feature Representation Method

2022-03-24 19:57:53
Nasrin Bayat, Elham Rastegari, Qifeng Li
arXiv_CV
         
Abstract

In this paper, we propose a novel gait recognition method based on a bag-of-words feature representation method. The algorithm is trained, tested and evaluated on a unique human gait data consisting of 93 individuals who walked with comfortable pace between two end points during two different sessions. To evaluate the effectiveness of the proposed model, the results are compared with the outputs of the classification using extracted features. As it is presented, the proposed method results in significant improvement accuracy compared to using common statistical features, in all the used classifiers.

Abstract (translated)

URL

https://arxiv.org/abs/2203.13317

PDF

https://arxiv.org/pdf/2203.13317.pdf

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