著者

澤田 耕司 高橋 桂太 苗村 健

出版者

一般社団法人 映像情報メディア学会

雑誌

映像情報メディア学会誌 (ISSN:13426907)

巻号頁・発行日

vol.62, no.2, pp.256-261, 2008-02-01 (Released:2010-05-01)

参考文献数

12

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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.