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JANOUŠEK, J.; NOVOTNÝ, J.; MARCOŇ, P.; ŠIRŮČKOVÁ, A.
Originální název
Algorithms for Flying Object Detection
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
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
Anglický abstrakt
Klíčová slova
UAV, Canny filter, drone, object detection, recognition, Viola-Jones detector
Klíčová slova v angličtině
Autoři
Rok RIV
2019
Vydáno
01.08.2018
Nakladatel
IEEE
Místo
Toyama, Japan
Kniha
Progress in Electromagnetics Research Symposium (PIERS-Toyama)
ISSN
1559-9450
Periodikum
Progress In Electromagnetics
Stát
Spojené státy americké
Strany od
782
Strany do
786
Strany počet
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" }