Research Article

Design of Video Tracking Software for Analysis of Animal Movement in Water Maze Experiments

Volume: 21 Number: 2 December 15, 2025

Design of Video Tracking Software for Analysis of Animal Movement in Water Maze Experiments

Abstract

In this study, a video tracking software was designed for use in Morris water tank (MST) experiments. The software, developed using Python programming language and Bootstrap interface, enables the detection, tracking and analysis of animal movements from both recorded video files and live video streams. The software, which was originally designed and developed within the scope of this study, uses image processing techniques, which are vital in spatial memory studies, and automates processes such as experiment design, region identification and object detection, unlike the traditional method of laboratory tracking. also performs functions such as experiment control, visualization of traces and calculation of analysis parameters. Using this advanced video monitoring system, we aim to more effectively characterize the data obtained with MST and improve statistical analysis. Thus, we aim to provide practical solutions to the problems encountered in neuroscience research and increase the efficiency of experiments

Keywords

References

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Details

Primary Language

English

Subjects

Image Processing, Video Processing, Electronics, Sensors and Digital Hardware (Other)

Journal Section

Research Article

Early Pub Date

October 8, 2025

Publication Date

December 15, 2025

Submission Date

May 11, 2025

Acceptance Date

June 25, 2025

Published in Issue

Year 2025 Volume: 21 Number: 2

APA
Böcekçi, V. G., Karakuş, G., & Ülkü, E. E. (2025). Design of Video Tracking Software for Analysis of Animal Movement in Water Maze Experiments. Journal of Naval Sciences and Engineering, 21(2), 141-172. https://doi.org/10.56850/jnse.1697299
AMA
1.Böcekçi VG, Karakuş G, Ülkü EE. Design of Video Tracking Software for Analysis of Animal Movement in Water Maze Experiments. JNSE. 2025;21(2):141-172. doi:10.56850/jnse.1697299
Chicago
Böcekçi, Veysel Gökhan, Gülşah Karakuş, and Eyüp Emre Ülkü. 2025. “Design of Video Tracking Software for Analysis of Animal Movement in Water Maze Experiments”. Journal of Naval Sciences and Engineering 21 (2): 141-72. https://doi.org/10.56850/jnse.1697299.
EndNote
Böcekçi VG, Karakuş G, Ülkü EE (December 1, 2025) Design of Video Tracking Software for Analysis of Animal Movement in Water Maze Experiments. Journal of Naval Sciences and Engineering 21 2 141–172.
IEEE
[1]V. G. Böcekçi, G. Karakuş, and E. E. Ülkü, “Design of Video Tracking Software for Analysis of Animal Movement in Water Maze Experiments”, JNSE, vol. 21, no. 2, pp. 141–172, Dec. 2025, doi: 10.56850/jnse.1697299.
ISNAD
Böcekçi, Veysel Gökhan - Karakuş, Gülşah - Ülkü, Eyüp Emre. “Design of Video Tracking Software for Analysis of Animal Movement in Water Maze Experiments”. Journal of Naval Sciences and Engineering 21/2 (December 1, 2025): 141-172. https://doi.org/10.56850/jnse.1697299.
JAMA
1.Böcekçi VG, Karakuş G, Ülkü EE. Design of Video Tracking Software for Analysis of Animal Movement in Water Maze Experiments. JNSE. 2025;21:141–172.
MLA
Böcekçi, Veysel Gökhan, et al. “Design of Video Tracking Software for Analysis of Animal Movement in Water Maze Experiments”. Journal of Naval Sciences and Engineering, vol. 21, no. 2, Dec. 2025, pp. 141-72, doi:10.56850/jnse.1697299.
Vancouver
1.Veysel Gökhan Böcekçi, Gülşah Karakuş, Eyüp Emre Ülkü. Design of Video Tracking Software for Analysis of Animal Movement in Water Maze Experiments. JNSE. 2025 Dec. 1;21(2):141-72. doi:10.56850/jnse.1697299