Real time Face Detection

  • Avinash Mishra
  • Harish Chandrasekaran
  • Bhavesh Dhamecha
  • Radhika Bhise
Keywords: Face detection, AdaBoost Algorithm, Cascade Classifier, Haar cascade classifier, Local binary pattern classifier, Histogram of oriented gradients, Haar-Like features, Viola-Jones.


Face detection puts forth a challenging problem in the field of Computer Vision. Detecting faces in real time have many applications especially in the safety and security domain. The primary aim of Face detection algorithms is to detect faces in an image or in a video stream successfully so that they could be further used for applications such as Face recognition. Object detection systems developed traditionally have had a lot of success in detecting objects such as humans, cars, buildings etc. but real time face detection presents a new challenge. In this paper, we provide efficient and robust face detection algorithms which adapt to real-world situations like the face being in poor light conditions, multiple faces in a window, pose, different orientations, varied expressions, to detect faces with maximum accuracy.


[1] P. Viola and M. Jones, “Rapid Object Detection using a Boosted Cascade of Simple Features”, CVPR 2001. Vol I: 511-518
[2] Ming-Hsuan Yang, D.J. Kriegman; N. Ahuja, “Detecting faces in images: a survey”
[3] A. Mohan, C. Papageorgiou, and T. Poggio, “Example Based Object Detection in images by Components”, IEEE Trans on PAMI, 23(4): 394-361, 2001.
[4] Mathew Turk and Alex Pentland, “Eigenfaces for recognition”. In Proceedings of IEEE CVPR 97, pages 568– 574, 1997
[5] Bhavani K, Dhanaraj, Siddesh N, Ragav Vijayadev, Uma Rani, “Real time Face Detection and Recognition in Video Surveillance”
[6] Hafiz Ahamed, Ishraq Alam, Md. Manirul Islam, “HOGCNN Based Real Time Face Recognition”
[7] Joshila Grace, K. Reshmi, “Face Recognition in Surveillance System”. In: IEEE Sponsored 2nd International Conference on Innovations in Information, Embedded and Communication systems (lCIIECS)20I5, pp.
[8] Rekha N, Dr.M.Z. Kurian, “Face Detection in Real Time Based on HOG”. In: International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 3 Issue 4, April 2014, pp.
How to Cite
Mishra, A., Chandrasekaran, H., Dhamecha, B., & Bhise, R. (2020). Real time Face Detection. Asian Journal For Convergence In Technology (AJCT), 5(3), 17-19. Retrieved from