Real-Time Human Object Extraction Method for Mobile Systems Based on Color Space Segmentation(<Special Section>Selected Papers from the 18th Workshop on Circuits and Systems in Karuizawa)

概要

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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 15fps video sequences can be processed in real time.
社団法人電子情報通信学会の論文
2006-04-01