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Multiple human body postures detection using kinect

This paper presents a method to detect multiple human body postures using Kinect sensor. In this study, a combination of shape features and body joint points are used as input features. The Kinect sensor which used infrared camera to produce a depth image is suitable to be used in an environment tha...

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Main Authors: Rosdiyana, Samad, Law, Wen Yan, Mahfuzah, Mustafa, Nor Rul Hasma, Abdullah, Pebrianti, Dwi
格式: Article
语言:English
出版: Institute of Advanced Engineering and Science 2018
主题:
TK Electrical engineering. Electronics Nuclear engineering
在线阅读:http://umpir.ump.edu.my/id/eprint/20909/1/Multiple%20Human%20Body%20Postures%20Detection%20using%20Kinect.pdf
http://umpir.ump.edu.my/id/eprint/20909/
http://www.iaescore.com/journals/index.php/IJEECS/article/view/11842
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spelling my.ump.umpir.209092018-08-15T07:29:08Z http://umpir.ump.edu.my/id/eprint/20909/ Multiple human body postures detection using kinect Rosdiyana, Samad Law, Wen Yan Mahfuzah, Mustafa Nor Rul Hasma, Abdullah Pebrianti, Dwi TK Electrical engineering. Electronics Nuclear engineering This paper presents a method to detect multiple human body postures using Kinect sensor. In this study, a combination of shape features and body joint points are used as input features. The Kinect sensor which used infrared camera to produce a depth image is suitable to be used in an environment that has varying lighting conditions. The method for human detection is done by processing the depth image and joint data (skeleton) which able to overcome several problems such as cluttered background, various articulated poses, and change in color and illumination. Then, the body joint coordinates found on the object are used to calculate the body proportion ratio. In the experiment, the average body proportions from three body parts are obtained to verify the suitableness of golden ratio usage in this work. Finally, the measured body proportion is compared with Golden Ratio to determine whether the found object is a real human body or not. This method is tested for various scenarios, where true positive human detection is high for various postures. This method able to detect a human body in low lighting and dark room. The average body proportions obtained from the experiment show that the value is close to the golden ratio value. Institute of Advanced Engineering and Science 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20909/1/Multiple%20Human%20Body%20Postures%20Detection%20using%20Kinect.pdf Rosdiyana, Samad and Law, Wen Yan and Mahfuzah, Mustafa and Nor Rul Hasma, Abdullah and Pebrianti, Dwi (2018) Multiple human body postures detection using kinect. Indonesian Journal of Electrical Engineering and Computer Science, 10 (2). pp. 528-536. ISSN 2502-4752. (Published) http://www.iaescore.com/journals/index.php/IJEECS/article/view/11842 DOI: 10.11591/ijeecs.v10.i2.pp528-536
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Rosdiyana, Samad
Law, Wen Yan
Mahfuzah, Mustafa
Nor Rul Hasma, Abdullah
Pebrianti, Dwi
Multiple human body postures detection using kinect
description This paper presents a method to detect multiple human body postures using Kinect sensor. In this study, a combination of shape features and body joint points are used as input features. The Kinect sensor which used infrared camera to produce a depth image is suitable to be used in an environment that has varying lighting conditions. The method for human detection is done by processing the depth image and joint data (skeleton) which able to overcome several problems such as cluttered background, various articulated poses, and change in color and illumination. Then, the body joint coordinates found on the object are used to calculate the body proportion ratio. In the experiment, the average body proportions from three body parts are obtained to verify the suitableness of golden ratio usage in this work. Finally, the measured body proportion is compared with Golden Ratio to determine whether the found object is a real human body or not. This method is tested for various scenarios, where true positive human detection is high for various postures. This method able to detect a human body in low lighting and dark room. The average body proportions obtained from the experiment show that the value is close to the golden ratio value.
format Article
author Rosdiyana, Samad
Law, Wen Yan
Mahfuzah, Mustafa
Nor Rul Hasma, Abdullah
Pebrianti, Dwi
author_facet Rosdiyana, Samad
Law, Wen Yan
Mahfuzah, Mustafa
Nor Rul Hasma, Abdullah
Pebrianti, Dwi
author_sort Rosdiyana, Samad
title Multiple human body postures detection using kinect
title_short Multiple human body postures detection using kinect
title_full Multiple human body postures detection using kinect
title_fullStr Multiple human body postures detection using kinect
title_full_unstemmed Multiple human body postures detection using kinect
title_sort multiple human body postures detection using kinect
publisher Institute of Advanced Engineering and Science
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/20909/1/Multiple%20Human%20Body%20Postures%20Detection%20using%20Kinect.pdf
http://umpir.ump.edu.my/id/eprint/20909/
http://www.iaescore.com/journals/index.php/IJEECS/article/view/11842
_version_ 1822920112568532992
score 13.251813

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