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Any Object Tracking and Following by a Flying Drone

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10332022" target="_blank" >RIV/00216208:11320/16:10332022 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/MICAI.2015.12" target="_blank" >http://dx.doi.org/10.1109/MICAI.2015.12</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/MICAI.2015.12" target="_blank" >10.1109/MICAI.2015.12</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Any Object Tracking and Following by a Flying Drone

  • Original language description

    AR. Drone is a quadcopter with onboard sensors including a frontal camera. The drone can be controlled from a computer via WiFi. This paper describes a method for autonomous tracking of a selected object by AR. Drone. We utilize a computer-vision approach called tracking-learning-detection (TLD) to track an arbitrary object selected by a user in the videostream going from the front camera of the drone. Information about location of the tracked object is then used to guide the drone using the proportional-integral-derivative (PID) controller. The method was implemented in software FollowMe.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA15-19877S" target="_blank" >GA15-19877S: Automated Knowledge and Plan Modeling for Autonomous Robots</a><br>

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2015 FOURTEENTH MEXICAN INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (MICAI)

  • ISBN

    978-1-5090-0322-8

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    35-41

  • Publisher name

    IEEE

  • Place of publication

    NEW YORK

  • Event location

    Polytechn Univ Morelos, Cuernavaca

  • Event date

    Oct 25, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000379341600006