Automated image-based tracking and its application in ecology

被引：343

作者：

Dell, Anthony I. ^{[1
]}

Bender, John A. ^{[2
]}

Branson, Kristin ^{[3
]}

Couzin, Iain D. ^{[4
]}

de Polavieja, Gonzalo G. ^{[5
]}

Noldus, Lucas P. J. J. ^{[6
]}

Perez-Escudero, Alfonso ^{[5
]}

Perona, Pietro ^{[7
]}

Straw, Andrew D. ^{[8
]}

Wikelski, Martin ^{[9
,10
]}

Brose, Ulrich ^{[1
]}

机构：

[1] Univ Gottingen, Dept Biol, D-37073 Gottingen, Germany

[2] HasOffers Inc, Seattle, WA USA

[3] Howard Hughes Med Inst, Ashburn, VA USA

[4] Princeton Univ, Dept Ecol & Evolutionary Biol, Princeton, NJ 08544 USA

[5] CSIC, Inst Cajal, E-28002 Madrid, Spain

[6] Noldus Informat Technol BV, NL-6709 PA Wageningen, Netherlands

[7] CALTECH, Computat & Neural Syst Program, Pasadena, CA 91125 USA

[8] Res Inst Mol Pathol IMP, Vienna, Austria

[9] Max Planck Inst Ornithol, Radolfzell am Bodensee, Germany

[10] Univ Konstanz, Dept Biol, Constance, Germany

来源：

TRENDS IN ECOLOGY & EVOLUTION | 2014年 / 29卷 / 07期

基金：

美国国家科学基金会;

关键词：

behavior; bio-logging; ecological interactions; tracking; automated image-based tracking; THROUGHPUT BEHAVIORAL-ANALYSIS; INFORMATION-TRANSFER; DECISION-MAKING; PREY CAPTURE; RECONSTRUCTION; RECOGNITION; KINEMATICS; COLONIES; DYNAMICS; NEURONS;

D O I：

10.1016/j.tree.2014.05.004

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

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.

引用

页码：417 / 428

页数：12

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