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Automatic tracking method for multiple honeybees using backward-play movies

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dc.contributor.author Toshifumi Kimura, Ko,MD 1,2,3 Ching-Jen,Wang,MD1,2 Mizue Ohashi, Ryuichi Okada
dc.date.accessioned 2018-10-03T15:46:39Z
dc.date.available 2018-10-03T15:46:39Z
dc.date.issued 2017-11-12
dc.identifier.uri http://103.99.128.10:8080/xmlui/handle/123456789/140
dc.description.abstract In recent studies, researchers can easily record the behaviors of animals by digital video cameras, which provide high functionality at reasonable cost. However, it is a laborious and time-consuming manual task for them to extract the useful behavioral data from these videos. We recently proposed a tracking method for unmarked multiple honeybees in a flat arena, named the “K-Track” algorithm. The algorithm can successfully identify and track nearly 90% of interaction cases of targets. In this study, we proposed an improved method for the existing K-Track algorithm by tracking results using backwardplay movie. If the tracking results differed between the forward and backward episodes, one of them had probably resulted from correct tracking. Therefore, by comparing the forward and backward trajectories of the same interaction, we assumed that there is the potential for an increase in tracking accuracy. In the experiments, K-Track using backward movies successfully tracked four out of five situations that was failed by original KTrack and we confirmed that the method has the potential of improved tracking accuracy. en_US
dc.language.iso en en_US
dc.publisher CSE, CUET en_US
dc.relation.ispartofseries 874;
dc.subject video processing, unmarked multi-object tracking en_US
dc.title Automatic tracking method for multiple honeybees using backward-play movies en_US
dc.title.alternative 6th International Conference on Informatics, Electronics & Vision (ICIEV) & 7th International Symposium in Computational Medical and Health Technology (ISCMHT) en_US
dc.type Article en_US


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