Comparative of viola-jones and YOLO v3 for face detection in real time
Joint Authors
Ubaydah, Tamim Hamid
Jamil, Abir Salim
Hasan, Nida Fulayyih
Source
Iraqi Journal of Computer, Communications and Control Engineering
Issue
Vol. 22, Issue 2 (30 Jun. 2022), pp.63-72, 10 p.
Publisher
Publication Date
2022-06-30
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract 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.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 72
Record ID
BIM-1492883