Premium
Development of a free viewpoint pedestrian recognition system using deep learning for multipurpose flying drone
Author(s) -
Miyazato Takaya,
Uehara Wakaki,
Nagayama Itaru
Publication year - 2019
Publication title -
electronics and communications in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 13
eISSN - 1942-9541
pISSN - 1942-9533
DOI - 10.1002/ecj.12215
Subject(s) - drone , artificial intelligence , computer science , computer vision , deep learning , object (grammar) , artificial neural network , key (lock) , object detection , pattern recognition (psychology) , computer security , genetics , biology
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.