IEICE TRANSACTIONS on Fundamentals
Real-Time Human Object Extraction Method for Mobile Systems Based on Color Space Segmentation
Summary :
Since a human object is an important element of the moving pictures being processed by mobile terminals, establishing a human object extraction method encourages dissemination of new applications. In accordance with the requirement of mobile applications, this paper proposes a low-cost human object extraction method, which consists of a face object and a hair object extraction based on their color information and a simple body extraction utilizing the position information of the face object. In the proposed method, skin color and hair color are estimated through color space segmentation, and a human object is effectively extracted by using a radial active contour model. Simulation results of the human object extraction with the use of XScale processor claims that QCIF 15 fps video sequences can be processed in real time.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E89-A No.4 pp.941-949
- Publication Date
- 2006/04/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e89-a.4.941
- Type of Manuscript
- Special Section PAPER (Special Section on Selected Papers from the 18th Workshop on Circuits and Systems in Karuizawa)
- Category
Authors
Keyword
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Gen FUJITA, Takaaki IMANAKA, Hyunh Van NHAT, Takao ONOYE, Isao SHIRAKAWA, "Real-Time Human Object Extraction Method for Mobile Systems Based on Color Space Segmentation" in IEICE TRANSACTIONS on Fundamentals,
vol. E89-A, no. 4, pp. 941-949, April 2006, doi: 10.1093/ietfec/e89-a.4.941.
Abstract: Since a human object is an important element of the moving pictures being processed by mobile terminals, establishing a human object extraction method encourages dissemination of new applications. In accordance with the requirement of mobile applications, this paper proposes a low-cost human object extraction method, which consists of a face object and a hair object extraction based on their color information and a simple body extraction utilizing the position information of the face object. In the proposed method, skin color and hair color are estimated through color space segmentation, and a human object is effectively extracted by using a radial active contour model. Simulation results of the human object extraction with the use of XScale processor claims that QCIF 15 fps video sequences can be processed in real time.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e89-a.4.941/_p
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@ARTICLE{e89-a_4_941,
author={Gen FUJITA, Takaaki IMANAKA, Hyunh Van NHAT, Takao ONOYE, Isao SHIRAKAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Real-Time Human Object Extraction Method for Mobile Systems Based on Color Space Segmentation},
year={2006},
volume={E89-A},
number={4},
pages={941-949},
abstract={Since a human object is an important element of the moving pictures being processed by mobile terminals, establishing a human object extraction method encourages dissemination of new applications. In accordance with the requirement of mobile applications, this paper proposes a low-cost human object extraction method, which consists of a face object and a hair object extraction based on their color information and a simple body extraction utilizing the position information of the face object. In the proposed method, skin color and hair color are estimated through color space segmentation, and a human object is effectively extracted by using a radial active contour model. Simulation results of the human object extraction with the use of XScale processor claims that QCIF 15 fps video sequences can be processed in real time.},
keywords={},
doi={10.1093/ietfec/e89-a.4.941},
ISSN={1745-1337},
month={April},}
Copy
TY - JOUR
TI - Real-Time Human Object Extraction Method for Mobile Systems Based on Color Space Segmentation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 941
EP - 949
AU - Gen FUJITA
AU - Takaaki IMANAKA
AU - Hyunh Van NHAT
AU - Takao ONOYE
AU - Isao SHIRAKAWA
PY - 2006
DO - 10.1093/ietfec/e89-a.4.941
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E89-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2006
AB - Since a human object is an important element of the moving pictures being processed by mobile terminals, establishing a human object extraction method encourages dissemination of new applications. In accordance with the requirement of mobile applications, this paper proposes a low-cost human object extraction method, which consists of a face object and a hair object extraction based on their color information and a simple body extraction utilizing the position information of the face object. In the proposed method, skin color and hair color are estimated through color space segmentation, and a human object is effectively extracted by using a radial active contour model. Simulation results of the human object extraction with the use of XScale processor claims that QCIF 15 fps video sequences can be processed in real time.
ER -
English
