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Reseach Article

Face Detection on Different Algorithms used in Recent Decade

Published on May 2015 by Sanjay Kumar Singh, Geetanjali Verma, Shruti Thakre, Sanchita Aggrawal
National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
Foundation of Computer Science USA
ACEWRM2015 - Number 1
May 2015
Authors: Sanjay Kumar Singh, Geetanjali Verma, Shruti Thakre, Sanchita Aggrawal
ddc40d63-90cd-4c05-8ab7-d2bd9f9fcb53

Sanjay Kumar Singh, Geetanjali Verma, Shruti Thakre, Sanchita Aggrawal . Face Detection on Different Algorithms used in Recent Decade. National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering. ACEWRM2015, 1 (May 2015), 8-12.

@article{
author = { Sanjay Kumar Singh, Geetanjali Verma, Shruti Thakre, Sanchita Aggrawal },
title = { Face Detection on Different Algorithms used in Recent Decade },
journal = { National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering },
issue_date = { May 2015 },
volume = { ACEWRM2015 },
number = { 1 },
month = { May },
year = { 2015 },
issn = 0975-8887,
pages = { 8-12 },
numpages = 5,
url = { /proceedings/acewrm2015/number1/20893-6005/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%A Sanjay Kumar Singh
%A Geetanjali Verma
%A Shruti Thakre
%A Sanchita Aggrawal
%T Face Detection on Different Algorithms used in Recent Decade
%J National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%@ 0975-8887
%V ACEWRM2015
%N 1
%P 8-12
%D 2015
%I International Journal of Computer Applications
Abstract

Face detection has been one of the most studied topics in the computer vision literature. In this technical report, we survey the recent advances in face detection for the past decade. The seminal Viola-Jones face detector is first reviewed. We then survey the various techniques according to how they extract features and what learning algorithms are adopted. It is our hope that by reviewing the many existing algorithms, we will see even better algorithms developed to solve this fundamental computer vision problem.

References
  1. T. Sakai, M. Nagao, and T. Kanade, "Computer analysis and classification of photographs of human faces," in Proc. First USA Japan Computer Conference, 1972, pp. 2-7.
  2. P. J. L. V. Beek, M. J. T. Reinders, B. Sankur, and J. C. A. V. D. Lubbe, "Semantic segmentation of videophone image sequences," in Proc. of SPIE Int. Conf. on Visual Communications and Image Processing.
  3. D. Beymer and K. Konolige, "Real-time tracking of multiple people using stereo," IEEE FRAME-RATE Workshop, 1999
  4. J. Davis and A. Bobick, "A robust human-silhouette extraction technique for interactive virtual environments," in Proceedings Modelling, 1998
  5. G. Bradski. Computer vision face tracking for use in a perceptual user interface. Intel Technology Journal. [Online]. Available: http://www. developer. intel. com/technology/itj/q21998/articles/art2. htm
  6. C. Bregler, "Learning and recognizing human dynamics in video Sequences," in Proceedings Computer Vision And Pattern Recognition, June 1997, pp 568–574.
  7. A. Elgammal, D. Harwood, and L. Davis, "Non-parametric model for background subtraction," IEEE FRAME-RATE Workshop, 1999
  8. M. Kass, A. Witkin, and D. Trezopoulos, "Snakes: Active Contour Models," International Journal of Computer Vision, vol. 1, no. 4, pp. 321- 331,1987.
  9. L. Yuille, P. W. Hallinan, and D. S. Cohen "Features extraction from faces using deformable templates," International Journal of Computer Vision, vol. 8, pp. 99-111, 1992.
  10. T. F. Cootes and C. J. Taylor, "Active shape models-smart snakes," In Proceedings of British Machine Vision Conference, 1992, pp. 266-275.
  11. X. Chenyang and L. J. Prince, "Snakes, shapes and Gradient vector Flow," IEEE Transaction on Image Processing, vol. 7, no. 3 pp. 359-369, March 1998.
  12. C. Frankel, M. J. Swain, and V. Athitsos, "WebSeer: An Image Search Engine for the World Wide Web," Technical Report, Computer Science Department, Univ. of Chicago, pp. 96-14, 1996.
  13. C. Wang, S. M. Griebel, and M. S. Brandstein, "Robust automatic video - conferencing with multiple cameras and microphones," inProc. IEEE International Conference on Multimedia and Expo, 2000.
Index Terms

Computer Science
Information Sciences

Keywords

Face Detection Pca Discrete Cosine Transform