In recent years, biology researchers have elucidated biological and behavioral mechanisms from the measurement of observation data. The measurement of the trajectory of a creature from observation data based on human eyes could incur significant time costs and may result in misrecognitions. Therefore, biology researchers require automated measurement and recording support systems. In this paper, we introduce a new method for generating the swimming trajectory of medaka to analyze its behavior. Then, in order to recognize the behavior of medaka, a method that combines orientation code matching by rotation invariant multiple-templates and particle filter based on multiple-likelihood functions is introduced. Through experimentations, we prove the effectiveness of our method.
J-STAGEがリニューアルされました！https://www.jstage.jst.go.jp/browse/-char/ja/
