A Vision-based System for Social Insect Tracking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00366727" target="_blank" >RIV/68407700:21230/22:00366727 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/RAAI56146.2022.10092977" target="_blank" >https://doi.org/10.1109/RAAI56146.2022.10092977</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RAAI56146.2022.10092977" target="_blank" >10.1109/RAAI56146.2022.10092977</a>
Alternative languages
Result language
angličtina
Original language name
A Vision-based System for Social Insect Tracking
Original language description
Socia1 insects, especially honeybees, play an essential role in nature, and their recent decline threatens the stability of many ecosystems. The behaviour of social insect colonies is typically governed by a central individual, e.g., by the honeybee queen. The RoboRoyale project aims to use robots to interact with the queen to affect her behaviour and the entire colony’s activity. This paper presents a necessary component of such a robotic system, a method capable of real-time detection, localisation, and tracking of the honeybee queen inside a large colony. To overcome problems with occlusions and computational complexity, we propose to combine two vision-based methods for fiducial marker localisation and tracking. The experiments performed on the data captured from inside the beehives demonstrate that the resulting algorithm outperforms its predecessors in terms of detection precision, recall, and localisation accuracy. The achieved performance allowed us to integrate the method into a larger system capable of physically tracking a honeybee queen inside its colony. The ability to observe the queen in fine detail for prolonged periods of time already resulted in unique observations of queen-worker interactions. The knowledge will be crucial in designing a system capable of interacting with the honeybee queen and affecting her activity.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2022 2nd International Conference on Robotics, Automation and Artificial Intelligence
ISBN
978-1-6654-5944-0
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
277-283
Publisher name
IEEE Xplore
Place of publication
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Event location
Singapore
Event date
Dec 9, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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