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Development of a free viewpoint pedestrian recognition system using deep learning for multipurpose flying drone.
- Source :
-
Electronics & Communications in Japan . Nov2019, Vol. 102 Issue 11, p16-24. 9p. - Publication Year :
- 2019
-
Abstract
- 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. [ABSTRACT FROM AUTHOR]
- Subjects :
- *DEEP learning
*OBJECT recognition (Computer vision)
Subjects
Details
- Language :
- English
- ISSN :
- 19429533
- Volume :
- 102
- Issue :
- 11
- Database :
- Academic Search Index
- Journal :
- Electronics & Communications in Japan
- Publication Type :
- Academic Journal
- Accession number :
- 139621921
- Full Text :
- https://doi.org/10.1002/ecj.12215