كتاب إلكتروني

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

التفاصيل البيبلوغرافية
العنوان: Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images
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
الوصف
ردمك:9783731511779
3731511770
تدمد:21906629
DOI:10.5445/KSP/1000144094