Human identification at a distance using body shape information
Shape of human body is unique from one person to another. This paper presents an intelligent system approach for human identification at a distance using human body shape information. The body features used are the head, shoulder, and trunk. Image processing techniques for detection of these body fe...
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iium-361192014-04-16T08:24:04Z http://irep.iium.edu.my/36119/ Human identification at a distance using body shape information Alang Md Rashid, Nahrul Khair Yahya, M. F. Shafie, Amir Akramin TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) Shape of human body is unique from one person to another. This paper presents an intelligent system approach for human identification at a distance using human body shape information. The body features used are the head, shoulder, and trunk. Image processing techniques for detection of these body features were developed in this work. Then, the features are recognized using fuzzy logic approach and used as inputs to a recognition system based on a multilayer neural network. The developed system is only applicable for recognizing a person from its frontal view and specifically constrained to male gender to simplify the algorithm. In this research, the accuracy for human identification using the proposed method is 77.5. Thus, it is proved that human can be identified at a distance using body shape information. IOP Publishing 2013 Article PeerReviewed application/pdf en http://irep.iium.edu.my/36119/1/1757-899X_53_1_012058.pdf Alang Md Rashid, Nahrul Khair and Yahya, M. F. and Shafie, Amir Akramin (2013) Human identification at a distance using body shape information. IOP Conference Series: Materials Science and Engineering, 53 (1). 012058 (1)-012058 (6). ISSN 1757-8981 http://iopscience.iop.org/1757-899X/53/1/012058 10.1088/1757-899X/53/1/012058 |
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International Islamic University Malaysia |
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Online Access |
language |
English |
topic |
TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) |
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TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) Alang Md Rashid, Nahrul Khair Yahya, M. F. Shafie, Amir Akramin Human identification at a distance using body shape information |
description |
Shape of human body is unique from one person to another. This paper presents an intelligent system approach for human identification at a distance using human body shape information. The body features used are the head, shoulder, and trunk. Image processing techniques for detection of these body features were developed in this work. Then, the features are recognized using fuzzy logic approach and used as inputs to a recognition system based on a multilayer neural network. The developed system is only applicable for recognizing a person from its frontal view and specifically constrained to male gender to simplify the algorithm. In this research, the accuracy for human identification using the proposed method is 77.5. Thus, it is proved that human can be identified at a distance using body shape information. |
format |
Article |
author |
Alang Md Rashid, Nahrul Khair Yahya, M. F. Shafie, Amir Akramin |
author_facet |
Alang Md Rashid, Nahrul Khair Yahya, M. F. Shafie, Amir Akramin |
author_sort |
Alang Md Rashid, Nahrul Khair |
title |
Human identification at a distance using body shape information |
title_short |
Human identification at a distance using body shape information |
title_full |
Human identification at a distance using body shape information |
title_fullStr |
Human identification at a distance using body shape information |
title_full_unstemmed |
Human identification at a distance using body shape information |
title_sort |
human identification at a distance using body shape information |
publisher |
IOP Publishing |
publishDate |
2013 |
url |
http://irep.iium.edu.my/36119/ http://irep.iium.edu.my/36119/ http://irep.iium.edu.my/36119/ http://irep.iium.edu.my/36119/1/1757-899X_53_1_012058.pdf |
first_indexed |
2023-09-18T20:51:43Z |
last_indexed |
2023-09-18T20:51:43Z |
_version_ |
1777410038490464256 |