Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images
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 th...
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Superior document: | Forschungsberichte aus der Industriellen Informationstechnik |
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Year of Publication: | 2022 |
Language: | English |
Series: | Forschungsberichte aus der Industriellen Informationstechnik
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Physical Description: | 1 electronic resource (204 p.) |
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Wetzel, Johannes auth Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images Karlsruhe KIT Scientific Publishing 2022 1 electronic resource (204 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Forschungsberichte aus der Industriellen Informationstechnik 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. English Electrical engineering bicssc probabilistische Personendetektion Netzwerk von 3D-Sensoren Tiefenbilder inverses Problem joint multi-view person detection depth sensor indoor surveillance mean-field variational inference vertical top-view indoor pedestrian detection 3-7315-1177-0 |
language |
English |
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eBook |
author |
Wetzel, Johannes |
spellingShingle |
Wetzel, Johannes Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images Forschungsberichte aus der Industriellen Informationstechnik |
author_facet |
Wetzel, Johannes |
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j w jw |
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Wetzel, Johannes |
title |
Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images |
title_full |
Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images |
title_fullStr |
Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images |
title_full_unstemmed |
Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images |
title_auth |
Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images |
title_new |
Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images |
title_sort |
probabilistic models and inference for multi-view people detection in overlapping depth images |
series |
Forschungsberichte aus der Industriellen Informationstechnik |
series2 |
Forschungsberichte aus der Industriellen Informationstechnik |
publisher |
KIT Scientific Publishing |
publishDate |
2022 |
physical |
1 electronic resource (204 p.) |
isbn |
1000144094 3-7315-1177-0 |
illustrated |
Not Illustrated |
work_keys_str_mv |
AT wetzeljohannes probabilisticmodelsandinferenceformultiviewpeopledetectioninoverlappingdepthimages |
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n |
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(CKB)5580000000346213 (oapen)https://directory.doabooks.org/handle/20.500.12854/90072 (EXLCZ)995580000000346213 |
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Forschungsberichte aus der Industriellen Informationstechnik |
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Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images |
container_title |
Forschungsberichte aus der Industriellen Informationstechnik |
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