Application of object tracking in video recordings to the observation of mice in the wild

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Matina C. Kalcounis-Rüppell, Professor (Creator)
Sebastian G. Pauli, Assistant Professor (Creator)
The University of North Carolina at Greensboro (UNCG )
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Abstract: We give an overview of methods used to track moving objects in video and describe how information about animal behavior can be extracted from tracking data. We discuss how computer-aided observation can be used to identify and pre-select potentially interesting video sequences from large amounts of video data for further observation, as well as directly analyze extracted data. We examine how this analysis can be used to study animal behavior. As an example, we examine thermal video recorded from free-living, nocturnal, wild mice in the genus Peromyscus.

Additional Information

Topics from the 8th Annual UNCG Regional Mathematics and Statistics Conference. Springer Proceedings in Mathematics & Statistics, vol 64.
Language: English
Date: 2013
Foreground Object, Video Analysis, Animal Behavior, Background Movement, Computer Vision Technique

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