Any Object Tracking and Following by a Flying Drone

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>

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
—

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)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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

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