Date of Award
Fall 12-28-2022
Document Type
Thesis
Degree Name
Master of Arts (MA)
Department
Psychology
First Advisor
Diana Reiss
Second Advisor
Marcelo. Magnasco
Academic Program Adviser
Diana Reiss
Abstract
With the increase in the use of UAS (Unmanned Aerial Systems) for marine mammal research, there is a need for the development of methods of analysis to transform UAS high resolution video into quantitative data. This study sought to develop a preliminary method of analysis that would quantify and present a way to visualize the dynamics and relative spatial distribution and changes in distribution of bottlenose dolphins (Tursiops truncatus) in the waters of Turneffe Atoll, Belize. This approach employs a previously developed video tracking program ‘Keypoint Tracking’ that enables manual tracking of individual dolphins and the creation of trajectory paths created using Pythons’ matplotlib plotting library to produce a visual representation of dolphin group dynamics including changes in the trajectory, spatial location, and relative position of individuals relative to each other and the group as a whole. Trajectory paths can be individualized or grouped for the analysis of movement, collective distributions and spatial relationships. Furthermore, with an animation, functional real-time visualization of movement and vocalization was achieved.
Recommended Citation
Bliss, Jillian D., "Methods for Drone Trajectory Analysis of Bottlenose Dolphins (Tursiops truncatus)" (2022). CUNY Academic Works.
https://academicworks.cuny.edu/hc_sas_etds/977
Included in
Animal Sciences Commons, Behavior and Ethology Commons, Programming Languages and Compilers Commons