COMPUTER VISION: A PAIR OF FRESH EYES TO STUDY ANIMAL BEHAVIOR

Author

• Warren Yee

Date of Award

2023

Document Type

Dissertation/Thesis

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Fily, Yaouen

Abstract

Computer vision has completely changed the way we study animal behavior. Over the past 15 years, researchers have developed several computer vision-based tools to automatically track an animal’s position and pose through time. This data can then be used to uncover the reasons behind the animal’s behavior. In this talk, I will compare two tracking tools, one based on contrast detection (Trilab-Tracker), and one based on machine learning (DeepLabCut), to determine which performs better on an existing set of videos of Mexican cavefish (Astyanax mexicanus) collected in Johanna Kowalko’s lab.

Comments

Thesis (B.S.)--Florida Atlantic University, Harriet L. Wilkes Honors College, 2023

Recommended Citation

Yee, Warren, "COMPUTER VISION: A PAIR OF FRESH EYES TO STUDY ANIMAL BEHAVIOR" (2023). Harriet L Wilkes Honors College Theses 2020 - Present. 231.
https://digitalcommons.fau.edu/etd_honors/231

Extent

40 p.

Identifier

FAUHT00280