skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Automated image-based tracking and its application in ecology

Trends in ecology & evolution (Amsterdam), 2014-07, Vol.29 (7), p.417-428 [Peer Reviewed Journal]

Copyright © 2014 Elsevier Ltd. All rights reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0169-5347 ;EISSN: 1872-8383 ;DOI: 10.1016/j.tree.2014.05.004 ;PMID: 24908439

Digital Resources/Online E-Resources

Citations Cited by
  • Title:
    Automated image-based tracking and its application in ecology
  • Author: Dell, Anthony I ; Bender, John A ; Branson, Kristin ; Couzin, Iain D ; de Polavieja, Gonzalo G ; Noldus, Lucas P J J ; Pérez-Escudero, Alfonso ; Perona, Pietro ; Straw, Andrew D ; Wikelski, Martin ; Brose, Ulrich
  • Subjects: Animal Distribution ; Animals ; Behavior, Animal ; Computer Science ; Ecology - trends ; Life Sciences ; Telemetry
  • Is Part Of: Trends in ecology & evolution (Amsterdam), 2014-07, Vol.29 (7), p.417-428
  • Description: 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.
  • Publisher: England: Elsevier
  • Language: English
  • Identifier: ISSN: 0169-5347
    EISSN: 1872-8383
    DOI: 10.1016/j.tree.2014.05.004
    PMID: 24908439
  • Source: Hyper Article en Ligne (HAL) (Open Access)
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait