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Hybrid Face Detection System using Combination of Viola - Jones Method and Skin Detection

by Amr El Maghraby, Mahmoud Abdalla, Othman Enany, Mohamed Y. El Nahas
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 71 - Number 6
Year of Publication: 2013
Authors: Amr El Maghraby, Mahmoud Abdalla, Othman Enany, Mohamed Y. El Nahas
10.5120/12361-8681

Amr El Maghraby, Mahmoud Abdalla, Othman Enany, Mohamed Y. El Nahas . Hybrid Face Detection System using Combination of Viola - Jones Method and Skin Detection. International Journal of Computer Applications. 71, 6 ( June 2013), 15-22. DOI=10.5120/12361-8681

@article{ 10.5120/12361-8681,
author = { Amr El Maghraby, Mahmoud Abdalla, Othman Enany, Mohamed Y. El Nahas },
title = { Hybrid Face Detection System using Combination of Viola - Jones Method and Skin Detection },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 71 },
number = { 6 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 15-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume71/number6/12361-8681/ },
doi = { 10.5120/12361-8681 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:35:22.342446+05:30
%A Amr El Maghraby
%A Mahmoud Abdalla
%A Othman Enany
%A Mohamed Y. El Nahas
%T Hybrid Face Detection System using Combination of Viola - Jones Method and Skin Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 71
%N 6
%P 15-22
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a fast, reliable automatic human face and facial feature detection is one of the initial and most important steps of face analysis and face recognition systems for the purpose of localizing and extracting the face region from the background. This paper presents a Crossed Face Detection Method that instantly detects low resolution faces in still images or video frames. Experimental results evaluated various face detection methods, providing complete solution for image based face detection with higher accuracy, showing that the present method efficiently decreased false positive rate and subsequently increased accuracy of face detection system in still images or video frames especially in complex backgrounds.

References
  1. http://en. wikipedia. org/wiki/Face_detection
  2. N. Ismail," Review of Existing Algorithms for Face Detection and Recognition," 8th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics,December 14-16,2009,pp. 30-39.
  3. Viola, P. and M. J. Jones (2004). "Robust Real-Time Face Detection. " International Journal of Computer Vision 57(2): 137-154.
  4. Viola, P. and M. Jones (2001). Rapid Object Detection Using a Boosted Cascade of Simple Features, in: Proc. IEEE Conf. Computer Vision and Pattern Recognition.
  5. http://opencv. org/
  6. K. T. Talele, S. Kadam, A. Tikare, Efficient Face Detection using Adaboost, "IJCA Proc on International Conference in Computational Intelligence", 2012
  7. Cristinacce, D. and Cootes, T. Facial feature detection using AdaBoost with shape constraints. British Machine Vision Conference, 2003. Singh, S. K. , Chauhan, D. S. , Vatsa, M. and Singh, R. (2003). "A Robust Skin Color Based Face Detection Algorithm. " TAMKANG.
  8. Papageorgiou, Oren and Poggio, "A general framework for object detection", International Conference on Computer Vision, 1998.
  9. Phillip I. W. ,Dr. John F. FACIAL FEATURE DETECTION USING HAAR CLASSIFIERS,JCSC 21, 4 (April 2006)
  10. Bernhard Fink, K. G. , Matts, P. J. : Visible skin color distribution plays a role in the perception of age, attractiveness, and health in female faces. Evolution and Human Behavior 27(6) (2006) 433–442
  11. Senior, A. , Hsu, R. L. , Mottaleb, M. A. , Jain, A. K. : Face detection in color images. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI) 24(5) (2002) 696–706
  12. Imagawa, K. , Lu, S. , Igi, S. : Color-based hands tracking system for sign language recognition in: FG '98: Proceedings of the 3rd. International Conference on Face & Gesture Recognition, Washington, DC, USA, IEEE Computer Society (1998) 462
  13. Burger, W. , Burge, M. : Digital Image Processing, an Algorithmic Introduction Using Java. Springer (2008)
  14. Yang, M. , Kriegman, D. , Ahuja, N. : Detecting faces in images: A survey. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI) 24(1) (2002) 34–58
  15. Zahra S. T. , Rahmita W. R. , Nur I. B. and Esmaeil K. " A Hybrid Face Detection System using combination of Appearance-based and Feature-based methods. " International Journal of Computer Science and Network Security, VOL. 9 No. 5, May 2009
  16. [Lazebnik09]www. cs. unc. edu/~lazebnik/spring09/lec23_face_detection. ppt
Index Terms

Computer Science
Information Sciences

Keywords

Face detection Videos frames Viola- Jones Skin detection Skin color classification

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