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...
Bewaard in:
| Hoofdauteur: | |
|---|---|
| Formaat: | Elektronisch Hoofdstuk |
| Taal: | Engels |
| Gepubliceerd in: |
Karlsruhe
KIT Scientific Publishing
2022
|
| Reeks: | Forschungsberichte aus der Industriellen Informationstechnik
|
| Onderwerpen: | |
| Online toegang: | DOAB: download the publication DOAB: description of the publication |
| Tags: |
Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
|
Search Result 1
OAPEN Library: description of the publication
Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images
Gepubliceerd in 2022
OAPEN Library: download the publication
OAPEN Library: description of the publication
Elektronisch
Hoofdstuk