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JRM Vol.33 No.3 pp. 547-555
doi: 10.20965/jrm.2021.p0547
(2021)

Paper:

Pose Estimation of Swimming Fish Using NACA Airfoil Model for Collective Behavior Analysis

Hitoshi Habe*, Yoshiki Takeuchi*, Kei Terayama**, and Masa-aki Sakagami***

*Kindai University
3-4-1 Kowakae, Higashi-osaka, Osaka 577-8502, Japan

**Yokohama City University
1-7-29 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan

***Kyoto University
Yosida Nihonmatsu-cho, Sakyo-ku, Kyoto 606-8316, Japan

Received:
January 4, 2021
Accepted:
March 17, 2021
Published:
June 20, 2021
Keywords:
swimming fish, tracking, pose estimation, collective behavior analysis
Abstract
Pose Estimation of Swimming Fish Using NACA Airfoil Model for Collective Behavior Analysis

Tracking result of swimming fish in a fish school

We propose a pose estimation method using a National Advisory Committee for Aeronautics (NACA) airfoil model for fish schools. This method allows one to understand the state in which fish are swimming based on their posture and dynamic variations. Moreover, their collective behavior can be understood based on their posture changes. Therefore, fish pose is a crucial indicator for collective behavior analysis. We use the NACA model to represent the fish posture; this enables more accurate tracking and movement prediction owing to the capability of the model in describing posture dynamics. To fit the model to video data, we first adopt the DeepLabCut toolbox to detect body parts (i.e., head, center, and tail fin) in an image sequence. Subsequently, we apply a particle filter to fit a set of parameters from the NACA model. The results from DeepLabCut, i.e., three points on a fish body, are used to adjust the components of the state vector. This enables more reliable estimation results to be obtained when the speed and direction of the fish change abruptly. Experimental results using both simulation data and real video data demonstrate that the proposed method provides good results, including when rapid changes occur in the swimming direction.

Cite this article as:
Hitoshi Habe, Yoshiki Takeuchi, Kei Terayama, and Masa-aki Sakagami, “Pose Estimation of Swimming Fish Using NACA Airfoil Model for Collective Behavior Analysis,” J. Robot. Mechatron., Vol.33, No.3, pp. 547-555, 2021.
Data files:
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Last updated on Nov. 25, 2021