Research Article | OPEN ACCESS
A Survey of Gait Recognition Based on Skeleton Model for Human Identification
1M.D. Jan Nordin and 2Ali Saadoon
1Center for Artificial Intelligence Technology
2Faculty of Information Science and Technologi, Universiti Kebangsaan Malaysia, Selangor, Malaysia
Research Journal of Applied Sciences, Engineering and Technology 2016 7:756-763
Received: October 16, 2015 | Accepted: January 13, 2016 | Published: April 05, 2016
Abstract
Biometric means the identification of persons by their traits or characteristics. We give in this study a simple survey and a general review of gait recognition based on a skeleton model for human identification of recent gait progresses. Every individual has features; therefore, a biometric means a unique feature of any person. The methods of the recognition currently, such as face recognition, iris recognition or fingerprint recognition based, require a physical contact or cooperative subject. So it is difficult to identify individuals by using these methods at a distance. However, gait as a feature of persons walk does not have these constraints. Gait is, in fact, a novel biometric feature. It attempts to distinguish people by the way of their walk. It has been increasingly taken the attentions of the research workers. Recent years, gait has become a hot topic in computer vision with great development accomplished.
Keywords:
Biometric, gait, gait recognition approaches, skeleton model,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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The authors have no competing interests.
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