A review on Face Detection and study of Viola Jones method
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) V25(1):54-61, July 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
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.
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.
Keywords
Adaboost, Face detection, challenges, haar
cascade.