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
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
收藏
页码:417 / 428
页数:12
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