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Tracking method of medaka considering proximity state

榊原 貴徳*; 高橋 悟*; 川端 邦明  ; 尾田 正二*

Sakakibara, Takanori*; Takahashi, Satoru*; Kawabata, Kuniaki; Oda, Shoji*

本論文では、複数のメダカの画像処理によってトラッキングするために近接状態を認識して処理を行うことで、個々のメダカを追跡する手法についての提案であり、実験によって検証した内容について報告している。

In biology, it is expected to understand the mechanism of herd development by analyzing crowd behavior. Currently, medaka (Oryzias latipes) is often used when conducting such research because of its ease of breeding and experimentation. However, when conducting such studies, it is very difficult to manually obtain herd data. In this article, in order to analyze the behavior of medaka, we will introduce a method to automatically extract the swimming trajectory of medaka from time-series images and acquire the data necessary for behavior analysis. In particular, the improvement of extraction accuracy is achieved by processing the overlap state and adjoin state of medaka in the image.

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