Journal of Cybersecurity and Information Management
  JCIM
  2690-6775
  2769-7851
  
   10.54216/JCIM
   https://www.americaspg.com/journals/show/695
  
 
 
  
   2019
  
  
   2019
  
 
 
  
   The Viola-Jones Face Detection Algorithm Analysis: A Survey
  
  
   Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni Suef City, 62511, Egypt
   
    Zahra
    Zahra
   
   Teaching assistant, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt
   
    Mohamed
    Arafa
   
   Under Graduated Student, 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
   
  
  
   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.
  
  
   2021
  
  
   2021
  
  
   85
   95
  
  
   10.54216/JCIM.060201
   https://www.americaspg.com/articleinfo/2/show/695