Tracking individual bees in a beehive
Independent thesis Advanced level (degree of Master (Two Years)), 30 credits / 45 HE creditsStudent thesis
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
IT, 13 009
Engineering and Technology
IdentifiersURN: urn:nbn:se:uu:diva-193462OAI: oai:DiVA.org:uu-193462DiVA: diva2:602825
Master Programme in Computational Science
Sintorn, Ida-MariaRantakokko, Jarmo