كتاب إلكتروني
Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images
العنوان: | Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images |
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المؤلفون: | Wetzel, Johannes |
بيانات النشر: | Karlsruhe: KIT Scientific Publishing, 2022. |
سنة النشر: | 2022 |
المجموعة: | Books Imported or submitted locally |
Original Material: | 44e29711-8d53-496b-85cc-3d10c9469be9 25 |
مصطلحات موضوعية: | 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, bic Book Industry Communication::T Technology, engineering, agriculture::TH Energy technology & engineering::THR Electrical engineering |
الوصف: | 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. |
نوع الوثيقة: | book |
وصف الملف: | application/pdf |
اللغة: | English |
ردمك: | 978-3-7315-1177-9 3-7315-1177-0 |
تدمد: | 2190-6629 |
Relation: | Forschungsberichte aus der Industriellen Informationstechnik |
DOI: | 10.5445/KSP/1000144094 |
URL الوصول: | https://library.oapen.org/handle/20.500.12657/57538 |
حقوق: | URL: http://creativecommons.org/licenses/by-sa/4.0 |
ملاحظات: | ONIX_20220718_9783731511779_115 |
رقم الأكسشن: | edsoap.20.500.12657.57538 |
قاعدة البيانات: | OAPEN Library |
ردمك: | 9783731511779 3731511770 |
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تدمد: | 21906629 |
DOI: | 10.5445/KSP/1000144094 |