著者

長山 格 岩永 竜也 上原 和加貴 宮里 太也

出版者

一般社団法人 電気学会

雑誌

電気学会論文誌D(産業応用部門誌) (ISSN:09136339)

巻号頁・発行日

vol.141, no.2, pp.138-146, 2021

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<p>This paper presents the development of a new method for the estimation and resolution of body occlusion using deep learning for an advanced intelligent video surveillance system. A generative adversarial network is used to estimate and reconstruct an image of a hidden part of the human body. Furthermore, an alternative learning approach using 3DCG that was developed in our previous study is adopted to create a large dataset for deep learning. Experimental results indicate that the proposed method performs well in the estimation of hidden parts of the human body using images of actual people.</p>