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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
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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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