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Algorithms for Flying Object Detection

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128562" target="_blank" >RIV/00216305:26220/18:PU128562 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/8598196" target="_blank" >https://ieeexplore.ieee.org/document/8598196</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/PIERS.2018.8598196" target="_blank" >10.23919/PIERS.2018.8598196</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Algorithms for Flying Object Detection

  • Original language description

    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

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Progress in Electromagnetics Research Symposium (PIERS-Toyama)

  • ISBN

  • ISSN

    1559-9450

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    782-786

  • Publisher name

    IEEE

  • Place of publication

    Toyama, Japan

  • Event location

    Toyama, Japan

  • Event date

    Aug 1, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000458673700135