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Face Detection and Tracking in Fuzzy Enhanced Low Contrast Images

by G. Sudhavani, K.jaya Ram, P. Venkateswara Rao, K. Satya Prasad
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 16
Year of Publication: 2015
Authors: G. Sudhavani, K.jaya Ram, P. Venkateswara Rao, K. Satya Prasad
10.5120/21154-4159

G. Sudhavani, K.jaya Ram, P. Venkateswara Rao, K. Satya Prasad . Face Detection and Tracking in Fuzzy Enhanced Low Contrast Images. International Journal of Computer Applications. 119, 16 ( June 2015), 31-35. DOI=10.5120/21154-4159

@article{ 10.5120/21154-4159,
author = { G. Sudhavani, K.jaya Ram, P. Venkateswara Rao, K. Satya Prasad },
title = { Face Detection and Tracking in Fuzzy Enhanced Low Contrast Images },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 16 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 31-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number16/21154-4159/ },
doi = { 10.5120/21154-4159 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:04:14.720922+05:30
%A G. Sudhavani
%A K.jaya Ram
%A P. Venkateswara Rao
%A K. Satya Prasad
%T Face Detection and Tracking in Fuzzy Enhanced Low Contrast Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 16
%P 31-35
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face detection and tracking in images have become an important concept for the researchers in the field of Digital Image Processing. Image enhancement refers to the improvement of inner details of image for visual perception. This paper combines these two concepts, using fuzzy logic based enhancement techniques to detect face in low contrast images. After fuzzy enhancement of the input image next step is detection and segmentation of the skin region. Enhancement is based on Fuzzy Intensification Operator (FIO) and Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE). The detected faces are tracked by enclosing them using two dimensional regions. Comparative study of the enhancement algorithms on face tracking is carried out on the parameters like quality factor, segmentation error, and overlap area.

References
  1. G. Prashanth Kumar and M. Shashidhara "Real Time Detection and Tracking of Human Face Using Skin Color Segmentation and Region Properties", International Journal of Signal Processing Systems Vol. 2, No. 2, December 2014.
  2. M. S. Devi and P. R. Baja, "Active facial tracking," in Proc. Third International Conference on Emerging Trends in Engineering and Technology, 2012.
  3. G. Sudhavani, M. Srilakshmi, P. Venkateswara Rao, K. Satya Prasad "Comparison of Fuzzy Contrast Enhancement Techniques" International Journal of Computer Applications (0975-8887), vol. 95, No. 22, June 2014.
  4. Sudhavani, G. , Srilakshmi M. , Sravani S. , Rao. P. V. "K enhancement of low contrast images using fuzzy techniques", International Conference on Signal Processing and Communication Engineering Systems, 2-3 Jan. 2015.
  5. G. Sudhavani, G. Madhuri, P. Venkateswara Tao & Dr. K. Satya Prasad "Additive Noise Removal For Color Images Using Fuzzy Filters", International Journal of Computer Science, Engineering Applications (IJCSEA) vol. 3, No. 3, June 2013.
  6. G. Sudhavani, G. Madhuri, P. Venkateswara Rao & K. Satya Prasad "Removing of Gaussian Noise from Color Images by Varying Size of Fuzzy Filter", International Journal of Computer applications (09751 – 8887), vol. 72, No. 17, June 2013.
  7. Etiene E. Kerre and Mike Nachtegael "Fuzzy Techniques in Image Processing" Studies in fuzziness and soft computing, ISSN 1434-9922, 2000.
  8. W. Pedrycz, F. Gomode "An Introduction to Fuzzy Sets: Analysis and Design", the MIT Press, 1998.
  9. G. Sudhavani, S. Sravani, P. Venkateswara Rao & K. Satya Prasad "Fuzzy Edge Linking Process on Fuzzy Noise Filtered Image", International Journal of Computer Applications (0975-8887), vol. 93, No. 15, May 2014.
  10. G. Sudhavani & Dr. K. Satya Prasad "Segmentation of Lip image by Modified Fuzzy C-means Clustering Algorithm" International Journal of Computer Science & Network Security, vol. 9, No. 4, April 2009.
  11. "Video Processing And Communications" by Yao Wang, Joern Ostermann, and Ya-Qin Zhang.
  12. Marius, Diedrick; Pennathur, Sumita; Rose, Klint, "Face Detection Using Color Thresholding and Eigenimage Template Matching".
  13. R. C. Gonzalez, R. E. Woods, Digital Image Processing", 3rd Ed. , Prentice Hall.
  14. Haidi Ibrahim, Nicholas Sia Pik Kong, "Brightness Preserving Dynamic Histogram Equalization for Image Contrast Enhancement", IEEE Trans. Consumer Electron, Vol. 53, no. 4, Nov 2007.
  15. M. Abdullah-Al-Wadud, Md. Hasanul Kabir, M. Ali Akber Dewan, and Oksam Chae, "A Dynamic Histogram Equalization for Image Contrast Enhancement", IEEE Trans. Consumer Electron, vol. 53, May 2007.
  16. Rajandeep Kaur, Vijay Dhir, "Fuzzy Logic Based Novel Method of Face Detection" International Journal of Latest Research in Science and Technology Volume 2, January-February (2013).
  17. Sankar K. Pal, Robert A. King, "Image Enhancement using Smoothing with Fuzzy Sets", IEEE Transactions on Systems, Man and Cybernetics, vol. SMC-11, No. 1, pp. 494-501, July 1981.
Index Terms

Computer Science
Information Sciences

Keywords

Image enhancement fuzzy logic face detection tracking bounding box quality factor segmentation error overlap area.

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