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JANOUŠEK, J.; NOVOTNÝ, J.; MARCOŇ, P.; ŠIRŮČKOVÁ, A.
Original Title
Algorithms for Flying Object Detection
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
The object detection and recognition are used for location, identification, and categorization of objects in the images and video. We use video record form flying object in our paper. Video record was transformed into individual images that were preprocessed. In the next step, algorithm for capturing a flying object was applied. Afterwards, algorithm for an object recognition was used. This algorithm is based on Oriented FAST (Features from Accelerated Segment Test) and rotated BRIEF (Binary Robust Independent Elementary Features) methods. The procedures were implemented on a small and affordable computer Raspberry PI 3 model B
English abstract
Keywords
UAV, Canny filter, drone, object detection, recognition, Viola-Jones detector
Key words in English
Authors
RIV year
2019
Released
01.08.2018
Publisher
IEEE
Location
Toyama, Japan
Book
Progress in Electromagnetics Research Symposium (PIERS-Toyama)
ISBN
1559-9450
Periodical
Progress In Electromagnetics
State
United States of America
Pages from
782
Pages to
786
Pages count
5
URL
https://ieeexplore.ieee.org/document/8598196
BibTex
@inproceedings{BUT149041, author="Jiří {Janoušek} and Josef {Novotný} and Petr {Marcoň} and Anna {Širůčková}", title="Algorithms for Flying Object Detection", booktitle="Progress in Electromagnetics Research Symposium (PIERS-Toyama)", year="2018", journal="Progress In Electromagnetics", pages="782--786", publisher="IEEE", address="Toyama, Japan", doi="10.23919/PIERS.2018.8598196", issn="1559-9450", url="https://ieeexplore.ieee.org/document/8598196" }