1. Automated tracking of aquatic crustaceans with potential application on the quantification of animals movement
- Author
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Jesús D. Nuñez, Octavio Massone, and José A. García
- Subjects
Python ,OpenCV ,object detection ,video tracking ,behavioural ecology ,Environmental sciences ,GE1-350 ,Ecology ,QH540-549.5 - Abstract
Here, we present a set of algorithms using the Python programming language, that will allow using a routine for object detection and tracking in experimental videos. We developed a script, under the fundamentals of background subtraction and image thresholding (using the OpenCV package), that makes it possible to track a wide spectrum of animals under different conditions. We have validated this script through testing on semi-terrestrial and aquatic crustacean species and under different experimental scenarios (laboratory and field sampling and using video created under nocturnal and diurnal conditions). The open-source nature of the script allows for flexibility and scalability, so it can be easily customized and is thus transferable to other species/experiments in the context of behavioral ecology. The tracking script is easy customizable and free alternative to commercial video tracking systems and therefore, applicable to a wide variety of both educational and research programs.
- Published
- 2022
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