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A new method for head direction estimation based on dlib face detection method and implementation of sine invers function
العناوين الأخرى
طريقة جديدة لتقدير إتجاه الرأس بالإعتماد على طريقية Dlib لاكتشاف الوجه و توظيف دالة مقلوب الجيب
المؤلفون المشاركون
Yunis, Arqam Muhammad
Muhammad, Ghasan Jasim
المصدر
al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah
العدد
المجلد 30، العدد 5 (31 مايو/أيار 2021)، ص ص. 114-124، 11ص.
الناشر
جامعة الموصل كلية التربية للعلوم الصرفة
تاريخ النشر
2021-05-31
دولة النشر
العراق
عدد الصفحات
11
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
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 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
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yunis, Arqam Muhammad& Muhammad, Ghasan Jasim. 2021. A new method for head direction estimation based on dlib face detection method and implementation of sine invers function. al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah،Vol. 30, no. 5, pp.114-124.
https://search.emarefa.net/detail/BIM-1302560
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yunis, Arqam Muhammad& Muhammad, Ghasan Jasim. A new method for head direction estimation based on dlib face detection method and implementation of sine invers function. al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah Vol. 30, no. 5 (2021), pp.114-124.
https://search.emarefa.net/detail/BIM-1302560
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yunis, Arqam Muhammad& Muhammad, Ghasan Jasim. A new method for head direction estimation based on dlib face detection method and implementation of sine invers function. al-Tarbiyah wa-al-Ilm : Majallat ilmiyah lil-Buhuth al-Ilmiyah al-Asasiyah. 2021. Vol. 30, no. 5, pp.114-124.
https://search.emarefa.net/detail/BIM-1302560
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 123-124
رقم السجل
BIM-1302560
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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