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Journal of Cybersecurity and Information Management

Volume 6 , Issue 2 , PP: 85-95, 2021 | Cite this article as | XML | Html | PDF | Full Length Article

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 4 , Zahra Ahmed shaaban 5 *

  • 1 Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni Suef City, 62511, Egypt - (elngar_7@yahoo.co.uk)
  • 2 Teaching assistant, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt - (jenuiman4rt@gmail.com )
  • 3 Under Graduated Student, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt - (dsaa2295@gmail.com )
  • 4 Under Graduated Student, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt - (ahmed.639963@gmail.com)
  • 5 Under Graduated Student, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt - (zuziiahmed95@gmail.com)

    • Doi: https://doi.org/10.54216/JCIM.060201

    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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    Cite This Article As :
    A., Ahmed. , Arafa, Mohamed. , El, Abd. , Rushdy, Ahmed. , Ahmed, Zahra. The Viola-Jones Face Detection Algorithm Analysis: A Survey. Journal of Cybersecurity and Information Management, vol. , no. , 2021, pp. 85-95. DOI: https://doi.org/10.54216/JCIM.060201
    A., A. Arafa, M. El, A. Rushdy, A. Ahmed, Z. (2021). The Viola-Jones Face Detection Algorithm Analysis: A Survey. Journal of Cybersecurity and Information Management, (), 85-95. DOI: https://doi.org/10.54216/JCIM.060201
    A., Ahmed. Arafa, Mohamed. El, Abd. Rushdy, Ahmed. Ahmed, Zahra. The Viola-Jones Face Detection Algorithm Analysis: A Survey. Journal of Cybersecurity and Information Management , no. (2021): 85-95. DOI: https://doi.org/10.54216/JCIM.060201
    A., A. , Arafa, M. , El, A. , Rushdy, A. , Ahmed, Z. (2021) . The Viola-Jones Face Detection Algorithm Analysis: A Survey. Journal of Cybersecurity and Information Management , () , 85-95 . DOI: https://doi.org/10.54216/JCIM.060201
    A. A. , Arafa M. , El A. , Rushdy A. , Ahmed Z. [2021]. The Viola-Jones Face Detection Algorithm Analysis: A Survey. Journal of Cybersecurity and Information Management. (): 85-95. DOI: https://doi.org/10.54216/JCIM.060201
    A., A. Arafa, M. El, A. Rushdy, A. Ahmed, Z. "The Viola-Jones Face Detection Algorithm Analysis: A Survey," Journal of Cybersecurity and Information Management, vol. , no. , pp. 85-95, 2021. DOI: https://doi.org/10.54216/JCIM.060201

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