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DOI: 10.1016/j.tree.2014.05.004
论文题名:
Automated image-based tracking and its application in ecology
作者: Dell A.I.; Bender J.A.; Branson K.; Couzin I.D.; de Polavieja G.G.; Noldus L.P.J.J.; Pérez-Escudero A.; Perona P.; Straw A.D.; Wikelski M.; Brose U.
刊名: Trends in Ecology and Evolution
ISSN: 1695347
出版年: 2014
卷: 29, 期:7
起始页码: 417
结束页码: 428
语种: 英语
英文关键词: Automated image-based tracking ; Behavior ; Bio-logging ; Ecological interactions ; Tracking
Scopus关键词: behavioral response ; image analysis ; imaging method ; tracking ; animal ; animal behavior ; animal dispersal ; ecology ; telemetry ; trends ; Animal Distribution ; Animals ; Behavior, Animal ; Ecology ; Telemetry
英文摘要: 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. © 2014 Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/67330
Appears in Collections:全球变化的国际研究计划
气候变化与战略

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作者单位: Systemic Conservation Biology, Department of Biology, Georg-August University Göttingen, Göttingen, Germany; HasOffers Inc., 2220 Western Ave, Seattle, WA, United States; Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, VA, United States; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, United States; Instituto Cajal, CSIC, Av. Doctor Arce, 37, Madrid, Spain; Noldus Information Technology BV, Nieuwe Kanaal 5, 6709 PA Wageningen, Netherlands; Computation and Neural Systems Program, California Institute of Technology, Pasadena, CA, United States; Research Institute of Molecular Pathology (IMP), Vienna, Austria; Max Planck Institute for Ornithology, Radolfzell, Germany; Biology Department, University of Konstanz, Konstanz, Germany

Recommended Citation:
Dell A.I.,Bender J.A.,Branson K.,et al. Automated image-based tracking and its application in ecology[J]. Trends in Ecology and Evolution,2014-01-01,29(7)
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