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Wetzel, JohannesProbabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images
Kartoniert, KIT Scientific Publishing (2022)
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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.

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Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images

Wetzel, Johannes

Kartoniert, 204 S.

graph. Darst.

Sprache: Englisch

210 mm

KIT Scientific Publishing (2022)

Gewicht: 390 g

ISBN-13: 978-3-7315-1177-9

Titelnr.: 96026408

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