Comparative of viola-jones and YOLO v3 for face detection in real time
المؤلفون المشاركون
Ubaydah, Tamim Hamid
Jamil, Abir Salim
Hasan, Nida Fulayyih
المصدر
Iraqi Journal of Computer, Communications and Control Engineering
العدد
المجلد 22، العدد 2 (30 يونيو/حزيران 2022)، ص ص. 63-72، 10ص.
الناشر
تاريخ النشر
2022-06-30
دولة النشر
العراق
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
This Face detection is considering one of the important topics for recognizing human, it is the first step before the face recognition process, it is considered one of the biggest challenges in the field of vision computer.
In recent years Many algorithms for detection have appeared, which depend on extracting the features of the human face, and works continue to develop them to this day.
This paper aims to make a comparison between two of the most commonly face detection methods, Viola Jones (V_J) and YOLO v3.
This comparison is made to determine which of the two algorithms is being most useful when used to detect faces in digital video.
These algorithms are used in many applications, including image classification, medical analysis of image, and objects detection in real time (especially in surveillance cameras).
Both algorithms are applied to detect faces in the real time video.
The experimental results of a sample consists of 20 video frames show that V_J algorithm consumes less time in comparison with YOLO v3 algorithm, but its results are less accurate, unlike the YOLO v3 algorithm, which is slower in detect face with high accurate rate.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ubaydah, Tamim Hamid& Hasan, Nida Fulayyih& Jamil, Abir Salim. 2022. Comparative of viola-jones and YOLO v3 for face detection in real time. Iraqi Journal of Computer, Communications and Control Engineering،Vol. 22, no. 2, pp.63-72.
https://search.emarefa.net/detail/BIM-1492883
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ubaydah, Tamim Hamid…[et al.]. Comparative of viola-jones and YOLO v3 for face detection in real time. Iraqi Journal of Computer, Communications and Control Engineering Vol. 22, no. 2 (Jun. 2022), pp.63-72.
https://search.emarefa.net/detail/BIM-1492883
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ubaydah, Tamim Hamid& Hasan, Nida Fulayyih& Jamil, Abir Salim. Comparative of viola-jones and YOLO v3 for face detection in real time. Iraqi Journal of Computer, Communications and Control Engineering. 2022. Vol. 22, no. 2, pp.63-72.
https://search.emarefa.net/detail/BIM-1492883
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 72
رقم السجل
BIM-1492883
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر