Adaptive skin detection system on DTV

Sungsoo Kim, Taehong Jung, Yungjun Park, Jaihie Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We propose a skin detection algorithmic system for a consequent video sequence which is fast, reliable and applicable. We adopted YCbCr color space which is competitive in extracting skin region from digital television (DTV) related images. Based on Gaussian color probability density and assumption that the color is homogeneous in a continuous scene of DTV signal, we adopted face detection part to pursue skin space locus from a scene to another scene so that adequate skin space is renewed by face detection. We target this algorithm to DTV applications. As speed of algorithm is crucial in real time system, we adopted motion estimation (ME) to find exact frames which need skin space to be updated due to scene change or skin color change. The core of this work is a practical adaptive skin space search algorithm meanwhile, reducing distortion from various image sources. Our adaptive skin locus update (ASLU) algorithm shows outstanding result comparing to static skin region detection algorithms'. Moreover, skin color is modeled on 2-dimensional CbCr space by imposing normal density modeling. Therefore, we determined the region of skin color existing in real, closest boundary to skin color and obscure region in the space. All of mentioned region will be processed by ASLU for homogeneous skin re-segmentation.

Original languageEnglish
Title of host publicationProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
EditorsS.J. Ko
Pages586-591
Number of pages6
Publication statusPublished - 2004 Dec 1
EventProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 - Seoul, Korea, Republic of
Duration: 2004 Nov 182004 Nov 19

Publication series

NameProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004

Other

OtherProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
CountryKorea, Republic of
CitySeoul
Period04/11/1804/11/19

Fingerprint

Digital television
Skin
Color
Face recognition
Television applications
Motion estimation
Real time systems

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Kim, S., Jung, T., Park, Y., & Kim, J. (2004). Adaptive skin detection system on DTV. In S. J. Ko (Ed.), Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 (pp. 586-591). (Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004).
Kim, Sungsoo ; Jung, Taehong ; Park, Yungjun ; Kim, Jaihie. / Adaptive skin detection system on DTV. Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004. editor / S.J. Ko. 2004. pp. 586-591 (Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004).
@inproceedings{78d5ed551a3840f8a9265d97efdbd659,
title = "Adaptive skin detection system on DTV",
abstract = "We propose a skin detection algorithmic system for a consequent video sequence which is fast, reliable and applicable. We adopted YCbCr color space which is competitive in extracting skin region from digital television (DTV) related images. Based on Gaussian color probability density and assumption that the color is homogeneous in a continuous scene of DTV signal, we adopted face detection part to pursue skin space locus from a scene to another scene so that adequate skin space is renewed by face detection. We target this algorithm to DTV applications. As speed of algorithm is crucial in real time system, we adopted motion estimation (ME) to find exact frames which need skin space to be updated due to scene change or skin color change. The core of this work is a practical adaptive skin space search algorithm meanwhile, reducing distortion from various image sources. Our adaptive skin locus update (ASLU) algorithm shows outstanding result comparing to static skin region detection algorithms'. Moreover, skin color is modeled on 2-dimensional CbCr space by imposing normal density modeling. Therefore, we determined the region of skin color existing in real, closest boundary to skin color and obscure region in the space. All of mentioned region will be processed by ASLU for homogeneous skin re-segmentation.",
author = "Sungsoo Kim and Taehong Jung and Yungjun Park and Jaihie Kim",
year = "2004",
month = "12",
day = "1",
language = "English",
isbn = "0780386396",
series = "Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004",
pages = "586--591",
editor = "S.J. Ko",
booktitle = "Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004",

}

Kim, S, Jung, T, Park, Y & Kim, J 2004, Adaptive skin detection system on DTV. in SJ Ko (ed.), Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004. Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004, pp. 586-591, Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004, Seoul, Korea, Republic of, 04/11/18.

Adaptive skin detection system on DTV. / Kim, Sungsoo; Jung, Taehong; Park, Yungjun; Kim, Jaihie.

Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004. ed. / S.J. Ko. 2004. p. 586-591 (Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Adaptive skin detection system on DTV

AU - Kim, Sungsoo

AU - Jung, Taehong

AU - Park, Yungjun

AU - Kim, Jaihie

PY - 2004/12/1

Y1 - 2004/12/1

N2 - We propose a skin detection algorithmic system for a consequent video sequence which is fast, reliable and applicable. We adopted YCbCr color space which is competitive in extracting skin region from digital television (DTV) related images. Based on Gaussian color probability density and assumption that the color is homogeneous in a continuous scene of DTV signal, we adopted face detection part to pursue skin space locus from a scene to another scene so that adequate skin space is renewed by face detection. We target this algorithm to DTV applications. As speed of algorithm is crucial in real time system, we adopted motion estimation (ME) to find exact frames which need skin space to be updated due to scene change or skin color change. The core of this work is a practical adaptive skin space search algorithm meanwhile, reducing distortion from various image sources. Our adaptive skin locus update (ASLU) algorithm shows outstanding result comparing to static skin region detection algorithms'. Moreover, skin color is modeled on 2-dimensional CbCr space by imposing normal density modeling. Therefore, we determined the region of skin color existing in real, closest boundary to skin color and obscure region in the space. All of mentioned region will be processed by ASLU for homogeneous skin re-segmentation.

AB - We propose a skin detection algorithmic system for a consequent video sequence which is fast, reliable and applicable. We adopted YCbCr color space which is competitive in extracting skin region from digital television (DTV) related images. Based on Gaussian color probability density and assumption that the color is homogeneous in a continuous scene of DTV signal, we adopted face detection part to pursue skin space locus from a scene to another scene so that adequate skin space is renewed by face detection. We target this algorithm to DTV applications. As speed of algorithm is crucial in real time system, we adopted motion estimation (ME) to find exact frames which need skin space to be updated due to scene change or skin color change. The core of this work is a practical adaptive skin space search algorithm meanwhile, reducing distortion from various image sources. Our adaptive skin locus update (ASLU) algorithm shows outstanding result comparing to static skin region detection algorithms'. Moreover, skin color is modeled on 2-dimensional CbCr space by imposing normal density modeling. Therefore, we determined the region of skin color existing in real, closest boundary to skin color and obscure region in the space. All of mentioned region will be processed by ASLU for homogeneous skin re-segmentation.

UR - http://www.scopus.com/inward/record.url?scp=21444438366&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=21444438366&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:21444438366

SN - 0780386396

T3 - Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004

SP - 586

EP - 591

BT - Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004

A2 - Ko, S.J.

ER -

Kim S, Jung T, Park Y, Kim J. Adaptive skin detection system on DTV. In Ko SJ, editor, Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004. 2004. p. 586-591. (Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004).