International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 25 | Number 1 | Year 2015 | Article Id. IJCTT-V25P110 | DOI : https://doi.org/10.14445/22312803/IJCTT-V25P110

A review on Face Detection and study of Viola Jones method

Monali Chaudhari, Shanta sondur, Gauresh Vanjare

Citation :

Monali Chaudhari, Shanta sondur, Gauresh Vanjare, "A review on Face Detection and study of Viola Jones method," International Journal of Computer Trends and Technology (IJCTT), vol. 25, no. 1, pp. 54-61, 2015. Crossref, https://doi.org/10.14445/22312803/IJCTT-V25P110

Abstract

This paper describes the necessity and adopted methods to detect a human face. Since the data is computed by the computer, many algorithms are developed to detect a face. Some of the key challenges for the process of face detection are discussed. Four general face detection methods that are universally used are elaborated with their capabilities, advantages and disadvantages. A rapid approach to detect face developed by viola and jones is explained in brief. The 4 main concepts involved in the viola jones method such as haar features, integral image, Adaboost and classifier cascade are demonstrated.

Keywords

Adaboost, Face detection, challenges, haar cascade.

References

[1] Hsu, Rein-Lien, Mohamed Abdel-Mottaleb, and Anil K. Jain. "Face detection in color images." Pattern Analysis and Machine Intelligence, IEEE Transactions on 24.5 (2002): 696-706.
[2] A.S. Georghiades, P.N. Belhumeur, D.J. Kriegman, From few to many: illumination cone models for face recognition under variable lighting and pose, IEEE Trans. Pattern Anal. Mach. Intell. 23 (6) (2001) 643–660.
[3] Mayank Chauha and Mukesh Sakle. ?Study & Analysis of Different Face Detection Techniques. International Journal of Computer Science and Information Technologies, Vol. 5 (2), 2014, 1615-1618.
[4] G. Yang and T. S. Huang, ?Human Face Detection in Complex Background, Pattern Recognition, vol. 27, no. 1, pp. 53-63, 1994.
[5] T.K. Leung, M.C. Burl, and P. Perona, ?Finding Faces in Cluttered Scenes Using Random Labeled Graph Matching, Proc. Fifth IEEE Int’l Conf. Computer Vision, pp. 637-644, 1995.
[6] K.C. Yow and R. Cipolla, ?Feature-Based Human Face Detection, Image and Vision Computing, vol. 15, no. 9, pp. 713-735, 1997.
[7] J. Yang and A. Waibel, ?A Real-Time Face Tracker, Proc. Third Workshop Applications of Computer Vision, pp. 142- 147, 1996.
[8] S. McKenna, S. Gong, and Y. Raja, ?Modelling Facial Colour and Identity with Gaussian Mixtures, Pattern Recognition, vol. 31, no. 12, pp. 1883-1892, 1998
[9] R. Kjeldsen and J. Kender, ?Finding Skin in Color Images, Proc. Second Int’l Conf. Automatic Face and Gesture Recognition, pp. 312- 317, 1996.
[10] I. Craw, D. Tock, and A. Bennett, ?Finding Face Features, Proc. Second European Conf. Computer Vision, pp. 92-96, 1992
[11] A. Lanitis, C.J. Taylor, and T.F. Cootes, ?An Automatic Face Identification System Using Flexible Appearance Models, Image and Vision Computing, vol. 13, no. 5, pp. 393-401, 1995.
[12] H. Rowley, S. Baluja, and T. Kanade, ?Neural Network- Based Face Detection, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 1, pp. 23-38, Jan. 1998.
[13] Sharifara, Ali, et al. "A general review of human face detection including a study of neural networks and Haar feature-based cascade classifier in face detection." Biometrics and Security Technologies (ISBAST), 2014 International Symposium on. IEEE, 2014.
[14] Zhengming Li; Lijie Xue; Fei Tan, "Face detection in complex background based on skin color features and improved AdaBoost algorithms," Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on , vol.2, no., pp.723,727, 10-12 Dec. 2010.
[15] Campadelli, Paola, Raffaella Lanzarotti, and Chiara Savazzi. "A feature-based face recognition system." Image Analysis and Processing, 2003. Proceedings. 12th International Conference on. IEEE, 2003.
[16] Yang, Ming-Hsuan, David J. Kriegman, and Narendra Ahuja. "Detecting faces in images: A survey." Pattern Analysis and Machine Intelligence, IEEE Transactions on 24.1 (2002): 34- 58.
[17] Xiaowei Zhao, Xiujuan Chai ,"Context Constrained Facial Landmark Localization Based on Discontinuous Haar-like Feature" International Conference on Computer Vision (ICCV2013),2013.
[18] Paul Viola, Micheal Jones, "Rapid object detection using a Boosted Cascade of Simple features" CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, 2001
[19] Lienhart and J. Maydt. An Extended Set of Haar-like Features for Rapid Object Detection. IEEE ICIP 2002
[20] Monali Chaudhari, Gauresh Vanjare, Dhairya Thakkar, Malay Shah and Amit Kadam, Intelligent Surveillance and Security System, Vol. 3, Issue 3, March 2015, pp. 2291- 2299.
[21] Cordiner, A.; Ogunbona, P.; Wanqing Li, "Face detection using generalised integral image features," Image Processing (ICIP), 2009 16th IEEE International Conference on , vol., no., pp.1229,1232, 7- 10 Nov. 2009.
[22] Ms.Drashti H. Bhatt , Mr.Kirit R. Rathod , Mr.Shardul J. Agravat. Article: A Study of Local Binary Pattern Method for Facial Expression Detection. International Journal of Computer Trends and Technology (IJCTT) 7(3):151-153, January 2014. Published by Seventh Sense Research Group.