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...
Guardat en:
Autor principal: | Wetzel, Johannes (auth) |
---|---|
Format: | Electrònic Capítol de llibre |
Idioma: | anglès |
Publicat: |
Karlsruhe
KIT Scientific Publishing
2022
|
Col·lecció: | Forschungsberichte aus der Industriellen Informationstechnik
25 |
Matèries: | |
Accés en línia: | OAPEN Library: download the publication OAPEN Library: description of the publication |
Etiquetes: |
Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|
Ítems similars
-
Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images
per: Wetzel, Johannes
Publicat: (2022) -
Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking
per: Grinberg, Michael
Publicat: (2018) -
Probabilistic Parametric Curves for Sequence Modeling
per: Hug, Ronny
Publicat: (2022) -
Probabilistic Parametric Curves for Sequence Modeling
per: Hug, Ronny
Publicat: (2022) -
Shepp's Photographs of the World
per: Shepp, Daniel B.; Shepp, James W.