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Journal of Cybersecurity and Information Management

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Online: 2690-6775 Print: 2769-7851
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Journal of Cybersecurity and Information Management
Full Length Article

Volume 6Issue 2PP: 85-95 • 2021

The Viola-Jones Face Detection Algorithm Analysis: A Survey

Ahmed A. Elngar 1* ,
Mohamed Arafa 2 ,
Abd El Rahman Ahmed Naeem 3 ,
Ahmed Rushdy Essa 3 ,
Zahra Ahmed shaaban 3
1Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni Suef City, 62511, Egypt
2Teaching assistant, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt
3Under Graduated Student, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt
* Corresponding Author.
Received: February 25, 2021 Accepted: April 10, 2021

Abstract

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.

Keywords

Face detection Viola-Jones algorithm Integral Image Adaboost Haar feature cascade

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Elngar, Ahmed A., Arafa, Mohamed, Naeem, Abd El Rahman Ahmed, Essa, Ahmed Rushdy, shaaban, Zahra Ahmed. "The Viola-Jones Face Detection Algorithm Analysis: A Survey." Journal of Cybersecurity and Information Management, vol. Volume 6, no. Issue 2, 2021, pp. 85-95. DOI: https://doi.org/10.54216/JCIM.060201
Elngar, A., Arafa, M., Naeem, A., Essa, A., shaaban, Z. (2021). The Viola-Jones Face Detection Algorithm Analysis: A Survey. Journal of Cybersecurity and Information Management, Volume 6(Issue 2), 85-95. DOI: https://doi.org/10.54216/JCIM.060201
Elngar, Ahmed A., Arafa, Mohamed, Naeem, Abd El Rahman Ahmed, Essa, Ahmed Rushdy, shaaban, Zahra Ahmed. "The Viola-Jones Face Detection Algorithm Analysis: A Survey." Journal of Cybersecurity and Information Management Volume 6, no. Issue 2 (2021): 85-95. DOI: https://doi.org/10.54216/JCIM.060201
Elngar, A., Arafa, M., Naeem, A., Essa, A., shaaban, Z. (2021) 'The Viola-Jones Face Detection Algorithm Analysis: A Survey', Journal of Cybersecurity and Information Management, Volume 6(Issue 2), pp. 85-95. DOI: https://doi.org/10.54216/JCIM.060201
Elngar A, Arafa M, Naeem A, Essa A, shaaban Z. The Viola-Jones Face Detection Algorithm Analysis: A Survey. Journal of Cybersecurity and Information Management. 2021;Volume 6(Issue 2):85-95. DOI: https://doi.org/10.54216/JCIM.060201
A. Elngar, M. Arafa, A. Naeem, A. Essa, Z. shaaban, "The Viola-Jones Face Detection Algorithm Analysis: A Survey," Journal of Cybersecurity and Information Management, vol. Volume 6, no. Issue 2, pp. 85-95, 2021. DOI: https://doi.org/10.54216/JCIM.060201
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