Development of a free viewpoint pedestrian recognition system using deep learning for multipurpose flying drone

被引：1

作者：

Miyazato, Takaya ^{[1
]}

Uehara, Wakaki ^{[1
]}

Nagayama, Itaru ^{[2
]}

机构：

[1] Univ Ryukyus, Dept Informat Engn, Nishihara, Okinawa, Japan

[2] Univ Ryukyus, Grad Sch Sci & Engn, 1 Senbaru, Nishihara, Okinawa 9030213, Japan

来源：

ELECTRONICS AND COMMUNICATIONS IN JAPAN | 2019年 / 102卷 / 11期

关键词：

deep neural network; drone; free viewpoint recognition; rescue robot;

D O I：

10.1002/ecj.12215

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper describes the development of three-dimensional (3D) human recognition system of flying drone system for emergency rescue and investigation. In this system, deep neural network and its application for 3D object recognition are key techniques for human detection from a free viewpoint. Some appearance based characteristics are captured as movie frames, and the system uses deep neural networks to automatically classify concerned object. The proposed system performs well that many kinds of views of personnel can be recognized from bird's eye view. Experimental results show that the system can effectively recognize human objects with high accuracy.

引用

页码：16 / 24

页数：9

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