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  • 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
  • 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
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