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Uncertainty-aware video visual analytics of tracked moving objects

Vast amounts of video data render manual video analysis useless while recent automatic video analytics techniques suffer from insufficient performance. To alleviate these issues, we present a scalable and reliable approach exploiting the visual analytics methodology. This involves the user in the it...

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Bibliografische gegevens
Hoofdauteurs: Markus Höferlin, Benjamin Höferlin, Daniel Weiskopf, Gunther Heidemann
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: University of Maine 2011-01-01
Reeks:Journal of Spatial Information Science
Onderwerpen:
Online toegang:http://josis.org/index.php/josis/article/view/23/39
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