Automated image-based tracking and its application in ecology

被引：351

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

共 94 条

[1] OBSERVATIONAL STUDY OF BEHAVIOR - SAMPLING METHODS [J].

ALTMANN, J .

BEHAVIOUR, 1974, 49 (3-4) :227-267

[2] Geneticist seeks engineer: must like flies and worms [J].

不详 .

NATURE METHODS, 2007, 4 (06) :463-463

[3]

[Anonymous], IEEE INT C IM PROC I

[4]

[Anonymous], 2001, Robotica, DOI DOI 10.1017/S0263574700223217

[5]

[Anonymous], BMVC 2010

[6]

Attanasi A., 2013, ARXIV13075631 CORN U

[7]

Attanasi A., 2013, ARXIV13051495 CORN U

[8]

Attanasi A., 2013, ARXIV13037097 CORN U

[9] How multirobot systems research will accelerate our understanding of social animal behavior [J].

Balch, Tucker ;

Dellaert, Frank ;

Feldman, Adam ;

Guillory, Andrew ;

Isbell, Charles L., Jr. ;

Khan, Zia ;

Pratt, Stephen C. ;

Stein, Andrew N. ;

Wilde, Hank .

PROCEEDINGS OF THE IEEE, 2006, 94 (07) :1445-1463

[10] Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study [J].

Ballerini, M. ;

Calbibbo, N. ;

Candeleir, R. ;

Cavagna, A. ;

Cisbani, E. ;

Giardina, I. ;

Lecomte, V. ;

Orlandi, A. ;

Parisi, G. ;

Procaccini, A. ;

Viale, M. ;

Zdravkovic, V. .

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2008, 105 (04) :1232-1237

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