Jun 3, 2015

BEEtag : a low-cost, image-based tracking system for the study of animal behavior and locomotion

BioRxiv : the Preprint Server for Biology
James D CrallStacey A Combes

Abstract

A fundamental challenge common to studies of animal movement, behavior, and ecology is the collection of high-quality datasets on spatial positions of animals as they change through space and time. Recent innovations in tracking technology have allowed researchers to collect large and highly accurate datasets on animal spatiotemporal position while vastly decreasing the time and cost of collecting such data. One technique that is of particular relevance to the study of behavioral ecology involves tracking visual tags that can be uniquely identified in separate images or movie frames. These tags can be located within images that are visually complex, making them particularly well suited for longitudinal studies of animal behavior and movement in naturalistic environments. While several software packages have been developed that use computer vision to identify visual tags, these software packages are either (a) not optimized for identification of single tags, which is generally of the most interest for biologist, or (b) suffer from licensing issues, and therefore their use in the study of animal behavior has been limited. Here, we present BEEtag, an open-source, image-based tracking system in Matlab that allows for unique identif...Continue Reading

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Mentioned in this Paper

Computer Software
Biological Markers
Study
Positioning Attribute
Longitudinal Studies
Molecular Probe Techniques
Vision
Environment
Research Personnel
Anatomical Space Structure

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