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In this work, the task of wide-area indoor people detection in a network of depth sensors is examined. In particular, we investigate how the redundant and complementary multi-view information, including the temporal context, can be jointly leveraged to improve the detection performance. We recast the problem of multi-view people detection in overlapping depth images as an inverse problem and present a generative probabilistic framework to jointly exploit the temporal multi-view image evidence.

DETAILS

  • Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images
  • Wetzel, Johannes
  • Kartoniert, 204 S.
  • graph. Darst.
  • Sprache: Englisch
  • 210 mm
  • ISBN-13: 978-3-7315-1177-9
  • Titelnr.: 96026408
  • Gewicht: 390 g
  • KIT Scientific Publishing (2022)
  • Herstelleradresse

    KIT Scientific Publishing

    Strasse am Forum 2

    76131 - DE Karlsruhe

    E-Mail: info@ksp.kit.edu

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