@article {45098,
	title = {Automated image-based tracking and its application in ecology.},
	journal = {Trends in Ecology and Evolution},
	volume = {29},
	year = {2014},
	month = {2014 Jul},
	pages = {417-428},
	abstract = {<p>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.</p>
},
	issn = {1872-8383},
	doi = {10.1016/j.tree.2014.05.004},
	author = {Dell, Anthony I and Bender, John A and Branson, Kristin and Couzin, Iain D and de Polavieja, Gonzalo G and Noldus, Lucas P J J and P{\'e}rez-Escudero, Alfonso and Perona, Pietro and Straw, Andrew D and Wikelski, Martin and Brose, Ulrich}
}
