Original title: Intrinsic behavioural parameters of autonomous objects based on motion
Authors: LONHUS, Kirill
Document type: Doctoral theses
Year: 2021
Language: eng
Abstract: This thesis outlines quantitative behaviour analysis methods. In laboratory conditions, the video tracking-based methods are the best, and thus they are investigated in depth. Methods of image acquisition, physical camera calibration, and spectral image reconstruction are intensively discussed in the author's articles, which are included in the thesis. Software solution for individualized object tracking was developed and applied to aquarium fish. Causality networks were introduced, investigated, and applied to multiple agent data of swimming fish. The networks highlighted school hierarchy, allowed to mine individual parameters of agents, and achieve the primary goal of the thesis -- how individual behaviour manifests itself in collective behaviour.
Keywords: causality; collective behaviour; network analysis; quantitative behaviour; school hierarchy
Citation: LONHUS, Kirill. Intrinsic behavioural parameters of autonomous objects based on motion. České Budějovice, 2021. disertační práce (Ph.D.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta

Institution: University of South Bohemia in České Budějovice (web)
Document availability information: Fulltext is available in the Digital Repository of University of South Bohemia.
Original record: http://www.jcu.cz/vskp/53744

Permalink: http://www.nusl.cz/ntk/nusl-513882


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Universities and colleges > Public universities > University of South Bohemia in České Budějovice
Academic theses (ETDs) > Doctoral theses