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 language | English |
|---|---|
| Title of host publication | Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 |
| Editors | S.J. Ko |
| Pages | 586-591 |
| Number of pages | 6 |
| Publication status | Published - 2004 Dec 1 |
| Event | Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 - Seoul, Korea, Republic of Duration: 2004 Nov 18 → 2004 Nov 19 |
Publication series
| Name | Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 |
|---|
Other
| Other | Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 04/11/18 → 04/11/19 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
}
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 proceeding › Conference 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 -