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An Improved Chromatic Skin Color Model for Detecting Human Skin in JPEG Images

The detection of the human skin has proven to be a useful and robust technique in computer vision for detecting, segmenting, and tracking faces and hands. It is also used in many different applications in motion capture, human-computer interaction, access control, surveillance, and content-based...

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Main Author: Kaid Saif Almohai, Hani
Format: Thesis
Language:English
Published: 2005
Subjects:
Human skin color - Colorimetry - Case studies
Color
Online Access:http://psasir.upm.edu.my/id/eprint/6080/1/FK_2005_59.pdf
http://psasir.upm.edu.my/id/eprint/6080/
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spelling my.upm.eprints.60802023-01-13T03:07:01Z http://psasir.upm.edu.my/id/eprint/6080/ An Improved Chromatic Skin Color Model for Detecting Human Skin in JPEG Images Kaid Saif Almohai, Hani The detection of the human skin has proven to be a useful and robust technique in computer vision for detecting, segmenting, and tracking faces and hands. It is also used in many different applications in motion capture, human-computer interaction, access control, surveillance, and content-based image retrieval and indexing of image databases. To build a decision rule that will discriminate between skin and non-skin pixels, a metric has to be introduced to measure the distance of the pixel color to skin tone. The skin color models define the type of this metric.An improved chromatic skin color model is discussed in this thesis. The model detected the human skin in the Bitmap images with JPEG format. A threshold method and 2D Gaussian model were used to improve the accuracy of the skin region detected. Good results have been achieved by using the proposed model. Results show that the model detects the human skin with an excellent detection rates for over than 90%. This result shows that this model is more appropriate to avoid false detection areas, while there remains a high degree of correct detection. This model has been implemented using the MATLAB software, which able to improve the performance and accuracy of skin detection models. 2005-06 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/6080/1/FK_2005_59.pdf Kaid Saif Almohai, Hani (2005) An Improved Chromatic Skin Color Model for Detecting Human Skin in JPEG Images. Masters thesis, Universiti Putra Malaysia. Human skin color - Colorimetry - Case studies Color
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
topic Human skin color - Colorimetry - Case studies
Color
spellingShingle Human skin color - Colorimetry - Case studies
Color
Kaid Saif Almohai, Hani
An Improved Chromatic Skin Color Model for Detecting Human Skin in JPEG Images
description The detection of the human skin has proven to be a useful and robust technique in computer vision for detecting, segmenting, and tracking faces and hands. It is also used in many different applications in motion capture, human-computer interaction, access control, surveillance, and content-based image retrieval and indexing of image databases. To build a decision rule that will discriminate between skin and non-skin pixels, a metric has to be introduced to measure the distance of the pixel color to skin tone. The skin color models define the type of this metric.An improved chromatic skin color model is discussed in this thesis. The model detected the human skin in the Bitmap images with JPEG format. A threshold method and 2D Gaussian model were used to improve the accuracy of the skin region detected. Good results have been achieved by using the proposed model. Results show that the model detects the human skin with an excellent detection rates for over than 90%. This result shows that this model is more appropriate to avoid false detection areas, while there remains a high degree of correct detection. This model has been implemented using the MATLAB software, which able to improve the performance and accuracy of skin detection models.
format Thesis
author Kaid Saif Almohai, Hani
author_facet Kaid Saif Almohai, Hani
author_sort Kaid Saif Almohai, Hani
title An Improved Chromatic Skin Color Model for Detecting Human Skin in JPEG Images
title_short An Improved Chromatic Skin Color Model for Detecting Human Skin in JPEG Images
title_full An Improved Chromatic Skin Color Model for Detecting Human Skin in JPEG Images
title_fullStr An Improved Chromatic Skin Color Model for Detecting Human Skin in JPEG Images
title_full_unstemmed An Improved Chromatic Skin Color Model for Detecting Human Skin in JPEG Images
title_sort improved chromatic skin color model for detecting human skin in jpeg images
publishDate 2005
url http://psasir.upm.edu.my/id/eprint/6080/1/FK_2005_59.pdf
http://psasir.upm.edu.my/id/eprint/6080/
_version_ 1755873885931175936
score 13.211869

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