文章基本信息

标题：色・温度画像を用いたベイズ推定に基づく人物領域抽出の基礎検討
本地全文：下载
作者：澤田耕司 ; 高橋桂太 ; 苗村健等
期刊名称：映像情報メディア学会誌
印刷版ISSN：1342-6907
电子版ISSN：1881-6908
出版年度：2008
卷号：62
期号：2
页码：256-261
DOI：10.3169/itej.62.256
出版社：The Institute of Image Information and Television Engineers
摘要：We have been developing a thermo-key system that segments human regions from video in real-time using thermal information. We developed a new segmentation method for this system based on Bayesian estimation, which uses both chroma and thermal information integratively. Segmentation algorithms were previously based on a simple threshold processing of thermal images, which often results in wrong segmentation of objects/environments whose temperatures are close to body temperature. Trained with only a few sets of chroma and thermal images, our algorithm can extract human regions from video with much higher accuracy compared to previous algorithms.
关键词：Thermo-key;人物領域抽出;ベイズ推定;統計的手法