Summary
|
For Full-Text PDF, please login, if you are a member of IEICE, or go to Pay Per View on menu list, if you are a nonmember of IEICE. |
|
Real-Time Human Object Extraction Method for Mobile Systems Based on Color Space Segmentation Gen FUJITA Takaaki IMANAKA Hyunh Van NHAT Takao ONOYE Isao SHIRAKAWA Publication IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E89-A No.4 pp.941-949 Publication Date: 2006/04/01 Online ISSN: 1745-1337 DOI: 10.1093/ietfec/e89-a.4.941 Print ISSN: 0916-8508 Type of Manuscript: Special Section PAPER (Special Section on Selected Papers from the 18th Workshop on Circuits and Systems in Karuizawa) Category: Keyword: object extraction, moving picture, human object, color space, Full Text: PDF(1.2MB)>>
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. | ||||||||||
| ||||||||||
