Detail publikace

Algorithms for Flying Object Detection

JANOUŠEK, J. NOVOTNÝ, J. MARCOŇ, P. ŠIRŮČKOVÁ, A.

Originální název

Algorithms for Flying Object Detection

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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

Klíčová slova

UAV, Canny filter, drone, object detection, recognition, Viola-Jones detector

Autoři

JANOUŠEK, J.; NOVOTNÝ, J.; MARCOŇ, P.; ŠIRŮČKOVÁ, A.

Vydáno

1. 8. 2018

Nakladatel

IEEE

Místo

Toyama, Japan

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"
}