A New Method for Head Direction Estimation based on Dlib Face Detection Method and Implementation of Sine Invers Function

The detection and tracking of head movements have been such an active area of research during the past years. This area contributes highly to computer vision and has many applications of computer vision. Thus, several methods and algorithms of face detection have been proposed because they are requi...

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Autores principales:	arqam Al-Nuaimi, Ghassan Mohmmed
Formato:	article
Lenguaje:	AR EN
Publicado:	College of Education for Pure Sciences 2021
Materias:	head direction,, ,،,؛dlib algorithm,, ,،,؛yaw,, ,،,؛pitch,, ,،,؛roll Education L Science (General) Q1-390
Acceso en línea:	https://doaj.org/article/e2d9779af3b24e5b82bc52b0e509aa2a
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id	oai:doaj.org-article:e2d9779af3b24e5b82bc52b0e509aa2a
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spelling	oai:doaj.org-article:e2d9779af3b24e5b82bc52b0e509aa2a2021-12-01T14:54:26ZA New Method for Head Direction Estimation based on Dlib Face Detection Method and Implementation of Sine Invers Function1812-125X2664-253010.33899/edusj.2021.130962.1181https://doaj.org/article/e2d9779af3b24e5b82bc52b0e509aa2a2021-12-01T00:00:00Zhttps://edusj.mosuljournals.com/article_169071_92fb8de5c14f5011621ad74429f9ba1b.pdfhttps://doaj.org/toc/1812-125Xhttps://doaj.org/toc/2664-2530The detection and tracking of head movements have been such an active area of research during the past years. This area contributes highly to computer vision and has many applications of computer vision. Thus, several methods and algorithms of face detection have been proposed because they are required in most modern applications, in which they act as the cornerstone in many interactive projects. Implementation of the detected angles of the head or head direction is very useful in many fields, such as disabled people assistance, criminal behavior tracking, and other medical applications. In this paper, a new method is proposed to estimate the angles of head direction based on Dlib face detection algorithm that predicts 68 landmarks in the human face. The calculations are mainly based on the predicated landmarks to estimate three types of angles Yaw, Pitch and Roll. A python program has been designed to perform face detection and its direction. To ensure accurate estimation, the particular landmarks were selected, such that, they are not affected by the movement of the head, so, the calculated angles are approximately accurate. The experimental results showed high accuracy measures for the entire three angles according to real and predicted measures. The sample standard deviation results for each real and calculated angle were Yaw (0.0046), Pitch (0.0077), and Roll (0.0021), which confirm the accuracy of the proposed method compared with other studies. Moreover, the method performs faster which promotes accurate online tracking.arqam Al-NuaimiGhassan MohmmedCollege of Education for Pure Sciencesarticlehead direction,,,،,؛dlib algorithm,,,،,؛yaw,,,،,؛pitch,,,،,؛rollEducationLScience (General)Q1-390ARENمجلة التربية والعلم, Vol 30, Iss 5, Pp 114-124 (2021)
institution	DOAJ
collection	DOAJ
language	AR EN
topic	head direction,, ,،,؛dlib algorithm,, ,،,؛yaw,, ,،,؛pitch,, ,،,؛roll Education L Science (General) Q1-390
spellingShingle	head direction,, ,،,؛dlib algorithm,, ,،,؛yaw,, ,،,؛pitch,, ,،,؛roll Education L Science (General) Q1-390 arqam Al-Nuaimi Ghassan Mohmmed A New Method for Head Direction Estimation based on Dlib Face Detection Method and Implementation of Sine Invers Function
description	The detection and tracking of head movements have been such an active area of research during the past years. This area contributes highly to computer vision and has many applications of computer vision. Thus, several methods and algorithms of face detection have been proposed because they are required in most modern applications, in which they act as the cornerstone in many interactive projects. Implementation of the detected angles of the head or head direction is very useful in many fields, such as disabled people assistance, criminal behavior tracking, and other medical applications. In this paper, a new method is proposed to estimate the angles of head direction based on Dlib face detection algorithm that predicts 68 landmarks in the human face. The calculations are mainly based on the predicated landmarks to estimate three types of angles Yaw, Pitch and Roll. A python program has been designed to perform face detection and its direction. To ensure accurate estimation, the particular landmarks were selected, such that, they are not affected by the movement of the head, so, the calculated angles are approximately accurate. The experimental results showed high accuracy measures for the entire three angles according to real and predicted measures. The sample standard deviation results for each real and calculated angle were Yaw (0.0046), Pitch (0.0077), and Roll (0.0021), which confirm the accuracy of the proposed method compared with other studies. Moreover, the method performs faster which promotes accurate online tracking.
format	article
author	arqam Al-Nuaimi Ghassan Mohmmed
author_facet	arqam Al-Nuaimi Ghassan Mohmmed
author_sort	arqam Al-Nuaimi
title	A New Method for Head Direction Estimation based on Dlib Face Detection Method and Implementation of Sine Invers Function
title_short	A New Method for Head Direction Estimation based on Dlib Face Detection Method and Implementation of Sine Invers Function
title_full	A New Method for Head Direction Estimation based on Dlib Face Detection Method and Implementation of Sine Invers Function
title_fullStr	A New Method for Head Direction Estimation based on Dlib Face Detection Method and Implementation of Sine Invers Function
title_full_unstemmed	A New Method for Head Direction Estimation based on Dlib Face Detection Method and Implementation of Sine Invers Function
title_sort	new method for head direction estimation based on dlib face detection method and implementation of sine invers function
publisher	College of Education for Pure Sciences
publishDate	2021
url	https://doaj.org/article/e2d9779af3b24e5b82bc52b0e509aa2a
work_keys_str_mv	AT arqamalnuaimi anewmethodforheaddirectionestimationbasedondlibfacedetectionmethodandimplementationofsineinversfunction AT ghassanmohmmed anewmethodforheaddirectionestimationbasedondlibfacedetectionmethodandimplementationofsineinversfunction AT arqamalnuaimi newmethodforheaddirectionestimationbasedondlibfacedetectionmethodandimplementationofsineinversfunction AT ghassanmohmmed newmethodforheaddirectionestimationbasedondlibfacedetectionmethodandimplementationofsineinversfunction
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A New Method for Head Direction Estimation based on Dlib Face Detection Method and Implementation of Sine Invers Function

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