Objects detection and recognition system using artificial neural networks and drones

被引：21

作者：

Pietrow, Dymitr ^{[1
]}

Matuszewski, Jan ^{[1
]}

机构：

[1] Mil Univ Technol, 2 S Kaliski St, PL-00908 Warsaw, Poland

来源：

2017 SIGNAL PROCESSING SYMPOSIUM (SPSYMPO) | 2017年

关键词：

neural networks; detection; recognition; drones;

D O I：

10.1109/SPS.2017.8053689

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：

The paper presents digital image objects detection and recognition system using artificial neural networks and drones. It contains description based on example of person identification system where face is the key object of processing. It describes the structure of the system and components of the learning sub-system as well as the processing sub-system (detection, recognition). It consists of a description and examples of the learning and processing algorithms and the technologies applied. The results of calculations of efficiency and speed of each algorithm are presented by tables and appropriate characteristics. The article also describes possibilities of further developments of system.

引用

页数：5