TY - JOUR
T1 - Automated image-based tracking and its application in ecology
AU - Dell, Anthony I.
AU - Bender, John A.
AU - Branson, Kristin
AU - Couzin, Iain D.
AU - de Polavieja, Gonzalo G.
AU - Noldus, Lucas P.J.J.
AU - Pérez-Escudero, Alfonso
AU - Perona, Pietro
AU - Straw, Andrew D.
AU - Wikelski, Martin
AU - Brose, Ulrich
N1 - Funding Information:
We thank Paul Craze, Lena Rohde, Andrew Spink, and one anonymous reviewer for their comments that improved our review, and especially Alex Gomez-Marin whose insightful and detailed comments significantly enhanced the clarity and quality of our review. A.I.D. would especially like to thank Samraat Pawar and Van Savage for many useful discussions, and was partly supported by National Science Foundation, Division of Environmental Biology, Award 1021010 We thank Michael Dickinson ( Figure I B in Box 2 ), Nickolay Hristov, Louise Allen, and Thomas Kunz ( Figure I C in Box 2 ), Scott Johnson ( Figure I D in Box 2 ), Nils Handegard and Simon Leblanc ( Figure I E in Box 2 ), Brian Hicks ( Figure I F in Box 2 ), and Steve Feller ( Figure I G in Box 2 ) for their images, and those people who kindly contributed information and movies for the supplementary data (names provided at the beginning of each movie). Figure I D,E,I in Box 4 and Movie S14 modified from [8] with permission from Nature Publishing Group. Figure I G in Box 4 and raw sonar clip in Movie S9 reprinted from [4] with permission from Elsevier. Figure 1 (middle panel) and Figure I M in Box 3 modified from [18] . Figure I E–I,L,N in Box 3 and Figure I D–F in Box 4 modified from [27] with permission from Nature Publishing Group. Figure I J in Box 3 , Figure I I in Box 4 , and Movie S11 reprinted from [28] with permission from Nature Publishing Group. Movie S16 reprinted from [31] with permission from Elsevier. Movie S18 reprinted from [70] . Movie S22 reprinted from [29] .
PY - 2014/7
Y1 - 2014/7
N2 - 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.
AB - 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.
KW - Automated image-based tracking
KW - Behavior
KW - Bio-logging
KW - Ecological interactions
KW - Tracking
UR - https://www.scopus.com/pages/publications/84902660161
U2 - 10.1016/j.tree.2014.05.004
DO - 10.1016/j.tree.2014.05.004
M3 - Review article
C2 - 24908439
AN - SCOPUS:84902660161
SN - 0169-5347
VL - 29
SP - 417
EP - 428
JO - Trends in Ecology and Evolution
JF - Trends in Ecology and Evolution
IS - 7
ER -