Automated image-based tracking and its application in ecology

Anthony I. Dell, John A. Bender, Kristin Branson, Iain D. Couzin, Gonzalo G. de Polavieja, Lucas P.J.J. Noldus, Alfonso Pérez-Escudero, Pietro Perona, Andrew D. Straw, Martin Wikelski, Ulrich Brose

Research output: Contribution to journalReview articlepeer-review

380 Scopus citations

Abstract

The behavior of individuals determines the strength and outcome of ecological interactions, which drive population, community, and ecosystem organization. Bio-logging, such as telemetry and animal-borne imaging, provides essential individual viewpoints, tracks, and life histories, but requires capture of individuals and is often impractical to scale. Recent developments in automated image-based tracking offers opportunities to remotely quantify and understand individual behavior at scales and resolutions not previously possible, providing an essential supplement to other tracking methodologies in ecology. Automated image-based tracking should continue to advance the field of ecology by enabling better understanding of the linkages between individual and higher-level ecological processes, via high-throughput quantitative analysis of complex ecological patterns and processes across scales, including analysis of environmental drivers.

Original languageEnglish
Pages (from-to)417-428
Number of pages12
JournalTrends in Ecology and Evolution
Volume29
Issue number7
DOIs
StatePublished - Jul 2014

Keywords

  • Automated image-based tracking
  • Behavior
  • Bio-logging
  • Ecological interactions
  • Tracking

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