i-manager Publications

Gait Based Human Age Classification using Random Forest Classifier

M. Hema*, K. Babulu**, N. Balaji***

*-*** Department of Electronics and Communication Engineering, UCEV, JNTUK University College of Engineering, Vizianagaram, Andhra Pradesh, India.

Periodicity:June - August'2019
DOI : https://doi.org/10.26634/jpr.6.2.16607

Abstract

In recent times, classification of human age has gained more attention. In this paper we propose to use gait identification points mainly to classify human's age based on their way of walking style. In this paper, we propose a Gait energy image Projection Model (GPM) for gait representation, which represents both Gait energy image Longitudinal Projection (GLP) and Gait energy image Transverse Projection (GTP) during a gait cycle. The proposed method mainly focuses on four parameters, namely head movement, body size, arm movement, and stride length. Regarding classification of age, OU-ISIR dataset is considered and the random forest is selected as the classifier. Moreover, the obtained experimental results are compared with the existing ones like FED, GEI, and SM. Further, descriptors are fused to check whether they get better results or not.

Keywords

Gait Energy Image Projection Model (GPM), GLP, GTP, Age Classification.

How to Cite this Article?

Hema , M., Babulu, K., & Balaji, N. (2019). Gait Based Human Age Classification using Random Forest Classifier. i-manager’s Journal on Pattern Recognition, 6(2), 1-7. https://doi.org/10.26634/jpr.6.2.16607

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Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25

Gait Based Human Age Classification using Random Forest Classifier

Abstract

Keywords

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References

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