Step by step and frame by frame – Workflow for efficient motion tracking of high-speed movements in animals
Autor: | Sebastian Büsse, Alexander Koehnsen, Jannis Kambach |
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Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
0301 basic medicine Video Recording Grasshoppers Kinematics Motor Activity Biology JavaScript Tracking (particle physics) 010603 evolutionary biology 01 natural sciences Motion (physics) 03 medical and health sciences Software Match moving Image Processing Computer-Assisted Animals Computer vision computer.programming_language Behavior Animal business.industry Frame (networking) Biomechanical Phenomena 030104 developmental biology Workflow Animal Science and Zoology Artificial intelligence business computer |
Zdroj: | Zoology. 141:125800 |
ISSN: | 0944-2006 |
DOI: | 10.1016/j.zool.2020.125800 |
Popis: | Analysing the motion of animals, especially at high speeds, is often challenging. Motion tracking software needs to deal with a variety of visual contexts, variable lighting conditions, heterogeneous backgrounds and even background movements. Here we present motion tracking via the easy to use and constantly updated Adobe After Effects software - which is often included in software packages most researchers are already using. The provided custom-made Javascript allows for easy exporting of tracking coordinates. Furthermore, some examples for analysing the obtained data in the open source statistical software 'R' will provide reference points, even for an unexperienced user. We present a step-by-step guide of the methodology using high-speed video recordings of locust jumps and additionally validate this method by successful tracking of simulated data under defined subpar filming conditions. This simulated data allows experienced users to compare the tracking software in use with the here presented workflow to weigh the advantages and disadvantages of any motion tracking software on the market. |
Databáze: | OpenAIRE |
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