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Tracking individual bees in a beehive
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2013 (English)Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis
Abstract [en]

Studying and analyzing interactions among bees requires tracking and identifying each individual among hundreds of them on a complex background. Automatic tracking and identification is challenging because of the unreliable features and appearance changes. In order to map bee’s social interactions, low computational cost algorithm needs to run for a long time and process has to be done at the same time.

We present comparison among several methods and how we stabilize the features and reduce the appearance changes. We have improved much in set-ups and made a newly designed tag. Meanwhile we have developed the prototype  of this automatic algorithm to track and identify each individual bee among hundreds of bees in a beehive over time. The rate is 15 frame per second at this stage and for the global detector  it takes around 21s to process one frame and for the local detector  it takes around 11s to process one frame. The algorithm can correctly detect 89% of around 300 tagged bees over hundreds of frames on average, but there are still around 11% misdetections.

Place, publisher, year, edition, pages
2013.
Series
IT, 13 009
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-193462OAI: oai:DiVA.org:uu-193462DiVA: diva2:602825
Educational program
Master Programme in Computational Science
Uppsok
Technology
Supervisors
Examiners
Available from: 2013-02-04 Created: 2013-02-04 Last updated: 2013-02-04Bibliographically approved

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CiteExportLink to record
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  • apa
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