Automated image-based tracking and its application in ecology.

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Trends in Ecology and Evolution. 2014 Jul;29(7):417-428. doi: 10.1016/j.tree.2014.05.004

Automated image-based tracking and its application in ecology. Branson Lab

Dell AI, Bender JA, Branson K, Couzin ID, de Polavieja GG, Noldus LP, Pérez-Escudero A, Perona P, Straw AD, Wikelski M, Brose U

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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.

PMID: 24908439 [PubMed - indexed for MEDLINE]

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Automated image-based tracking and its application in ecology.

Abstract

PMID: 24908439 [PubMed - indexed for MEDLINE]

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