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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| Format: | Online |
| Language: | English |
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KIT Scientific Publishing
2022
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| Online Access: | ONIX_20220718_9783731511779_115 |
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| _version_ | 1869521373587570688 |
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| author | Wetzel, Johannes |
| author_browse | Wetzel, Johannes |
| author_facet | Wetzel, Johannes |
| author_sort | Wetzel, Johannes |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-90072 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-900722025-07-30T11:55:44Z Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images Wetzel, Johannes 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering 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. 2022-07-19T04:08:47Z 2022-07-19T04:08:47Z 2022-07-18T11:55:26Z 2022 book ONIX_20220718_9783731511779_115 OCN: 1348375751 2190-6629 https://library.oapen.org/handle/20.500.12657/57538 9783731511779 https://directory.doabooks.org/handle/20.500.12854/90072 eng Forschungsberichte aus der Industriellen Informationstechnik open access image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/57538/1/9783731511779.pdf https://library.oapen.org/bitstream/20.500.12657/57538/1/9783731511779.pdf https://library.oapen.org/bitstream/20.500.12657/57538/1/9783731511779.pdf https://library.oapen.org/bitstream/20.500.12657/57538/1/9783731511779.pdf KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000144094 10.5445/KSP/1000144094 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731511779 AG Universitätsverlage KIT Scientific Publishing 204 Karlsruhe open access |
| spellingShingle | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering Wetzel, Johannes Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images |
| 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_short | 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 |
| topic | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering |
| topic_facet | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering |
| url | ONIX_20220718_9783731511779_115 |
| work_keys_str_mv | AT wetzeljohannes probabilisticmodelsandinferenceformultiviewpeopledetectioninoverlappingdepthimages |