Incorporating skin color for improved face detection and tracking system

B. Dahal; Abeer Alsadoon; P. W.C. Prasad; Amr Elchouemi

doi:10.1109/SSIAI.2016.7459203

Incorporating skin color for improved face detection and tracking system

B. Dahal, Abeer Alsadoon, P. W.C. Prasad, Amr Elchouemi

Research output: Book chapter/Published conference paper › Conference paper › peer-review

10 Citations (Scopus)

Abstract

Face detection and tracking have wide applications, for example, law enforcement, gaming, image search, marketing, etc. The detection and tracking tasks are quite challenging. Tracking the face in an image includes gender identification and segmenting the face using the skin color. In the past, many methods have been proposed to identify a face in videos, such as feature-based detection, skin color segmentation, appearance, and eigen-based identification. These techniques use image classifiers (both weak and strong) but are not very accurate. This paper introduces a hybrid method that utilizes skin color for increasing accuracy of detection and tracking. In our method, an image is rescaled and divided based on skin color, using RGB (red-green-blue) color combinations. The divided skin tone image is combined with the edges of images before applying the morphological operations. As a final step, a bounding box appears on the detected face.

Original language	English
Title of host publication	Proceedings of the 2016 IEEE Southwest Symposium on image analysis and interpretation
Subtitle of host publication	SSIAI 2016
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	173-176
Number of pages	4
ISBN (Electronic)	9781467399197
DOIs	https://doi.org/10.1109/SSIAI.2016.7459203
Publication status	Published - 25 Apr 2016
Event	2016 IEEE Southwest Symposium on Image Analysis and Interpretation: SSIAI 2016 - La Fonda on the Plaza, Santa Fe, United States Duration: 06 Mar 2016 → 08 Mar 2016 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7454915 (Conference proceedings)

Conference

Conference	2016 IEEE Southwest Symposium on Image Analysis and Interpretation
Country/Territory	United States
City	Santa Fe
Period	06/03/16 → 08/03/16
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7454915 (Conference proceedings)

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Dahal, B., Alsadoon, A., Prasad, P. W. C., & Elchouemi, A. (2016). Incorporating skin color for improved face detection and tracking system. In Proceedings of the 2016 IEEE Southwest Symposium on image analysis and interpretation: SSIAI 2016 (pp. 173-176). Article 7459203 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SSIAI.2016.7459203

@inproceedings{1cb60719d45b488e9d376b2c98db617e,

title = "Incorporating skin color for improved face detection and tracking system",

abstract = "Face detection and tracking have wide applications, for example, law enforcement, gaming, image search, marketing, etc. The detection and tracking tasks are quite challenging. Tracking the face in an image includes gender identification and segmenting the face using the skin color. In the past, many methods have been proposed to identify a face in videos, such as feature-based detection, skin color segmentation, appearance, and eigen-based identification. These techniques use image classifiers (both weak and strong) but are not very accurate. This paper introduces a hybrid method that utilizes skin color for increasing accuracy of detection and tracking. In our method, an image is rescaled and divided based on skin color, using RGB (red-green-blue) color combinations. The divided skin tone image is combined with the edges of images before applying the morphological operations. As a final step, a bounding box appears on the detected face.",

keywords = "Classifier, Color segmentation, Face recognition, Face tracking, Feature abstraction, RGB, YCbCr",

author = "B. Dahal and Abeer Alsadoon and Prasad, {P. W.C.} and Amr Elchouemi",

note = "Includes bibliographical references.; 2016 IEEE Southwest Symposium on Image Analysis and Interpretation : SSIAI 2016 ; Conference date: 06-03-2016 Through 08-03-2016",

year = "2016",

month = apr,

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doi = "10.1109/SSIAI.2016.7459203",

language = "English",

pages = "173--176",

booktitle = "Proceedings of the 2016 IEEE Southwest Symposium on image analysis and interpretation",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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Dahal, B, Alsadoon, A, Prasad, PWC & Elchouemi, A 2016, Incorporating skin color for improved face detection and tracking system. in Proceedings of the 2016 IEEE Southwest Symposium on image analysis and interpretation: SSIAI 2016., 7459203, IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 173-176, 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, Santa Fe, New Mexico, United States, 06/03/16. https://doi.org/10.1109/SSIAI.2016.7459203

Incorporating skin color for improved face detection and tracking system. / Dahal, B.; Alsadoon, Abeer; Prasad, P. W.C. et al.
Proceedings of the 2016 IEEE Southwest Symposium on image analysis and interpretation: SSIAI 2016. United States: IEEE, Institute of Electrical and Electronics Engineers, 2016. p. 173-176 7459203.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

TY - GEN

T1 - Incorporating skin color for improved face detection and tracking system

AU - Dahal, B.

AU - Alsadoon, Abeer

AU - Prasad, P. W.C.

AU - Elchouemi, Amr

N1 - Includes bibliographical references.

PY - 2016/4/25

Y1 - 2016/4/25

N2 - Face detection and tracking have wide applications, for example, law enforcement, gaming, image search, marketing, etc. The detection and tracking tasks are quite challenging. Tracking the face in an image includes gender identification and segmenting the face using the skin color. In the past, many methods have been proposed to identify a face in videos, such as feature-based detection, skin color segmentation, appearance, and eigen-based identification. These techniques use image classifiers (both weak and strong) but are not very accurate. This paper introduces a hybrid method that utilizes skin color for increasing accuracy of detection and tracking. In our method, an image is rescaled and divided based on skin color, using RGB (red-green-blue) color combinations. The divided skin tone image is combined with the edges of images before applying the morphological operations. As a final step, a bounding box appears on the detected face.

AB - Face detection and tracking have wide applications, for example, law enforcement, gaming, image search, marketing, etc. The detection and tracking tasks are quite challenging. Tracking the face in an image includes gender identification and segmenting the face using the skin color. In the past, many methods have been proposed to identify a face in videos, such as feature-based detection, skin color segmentation, appearance, and eigen-based identification. These techniques use image classifiers (both weak and strong) but are not very accurate. This paper introduces a hybrid method that utilizes skin color for increasing accuracy of detection and tracking. In our method, an image is rescaled and divided based on skin color, using RGB (red-green-blue) color combinations. The divided skin tone image is combined with the edges of images before applying the morphological operations. As a final step, a bounding box appears on the detected face.

KW - Classifier

KW - Color segmentation

KW - Face recognition

KW - Face tracking

KW - Feature abstraction

KW - RGB

KW - YCbCr

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BT - Proceedings of the 2016 IEEE Southwest Symposium on image analysis and interpretation

PB - IEEE, Institute of Electrical and Electronics Engineers

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T2 - 2016 IEEE Southwest Symposium on Image Analysis and Interpretation

Y2 - 6 March 2016 through 8 March 2016

ER -

Incorporating skin color for improved face detection and tracking system

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