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20261014041743
American Scientific Publishing Group
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American Scientific Publishing Group
Journal of Cybersecurity and Information Management
JCIM
2769-7851
2690-6775
2021
6
2
The Viola-Jones Face Detection Algorithm Analysis: A Survey
Ahmed A.
Elngar
Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni Suef City, 62511, Egypt
Mohamed
Arafa
Teaching assistant, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt
Abd El Rahman Ahmed
Naeem
Under Graduated Student, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt
Ahmed Rushdy
Essa
Under Graduated Student, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt
Zahra Ahmed
shaaban
Under Graduated Student, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt
In this paper, we analysis the Viola-Jones algorithm, the most real-time face detection system has been used. It is consisting from three main concepts to enable a robust detection: the integral image for Haar feature computation, Adaboost for selecting feature and cascade to make resource allocation more efficient. Here we propose each stage starting from Integral image to the end with Cascading and some of algorithmic description for stages. The Viola-Jones algorithm gives multiple detections, a post-processing step which reduce detection redundancy using Adaboost and cascading.
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2021
85
95
695
https://creativecommons.org/licenses/by/4.0/
10.54216/JCIM.060201
https://americaspg.com/journal/2/article/695
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