著者

長山 格 上原 和加貴 宮里 大也

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.139, no.2, pp.149-157, 2019

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<p>An alternative learning and its application to construct an overviewing human detection system (OHDES-V2) of flying drone for emergency rescue and investigation is presented in this paper. In this system, a deep neural network and alternative learning are used key techniques for object recognition from a free viewpoint. Simple appearance-based characteristics is determined from captured images, and the system uses a deep neural network to automatically classify human body, automobiles and so forth. The proposed system shows that several objects can be recognized from a bird's-eye view. Experimental results show that the system can effectively recognize four types of objects and walking persons with accuraces of 98.5% and 97.12%, respectively.</p>