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Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking

This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated o...

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Wedi'i Gadw mewn:
Prif Awdur: Grinberg, Michael
Fformat: Online
Iaith:Saesneg
Cyhoeddwyd: KIT Scientific Publishing 2021
Pynciau:
QA75.5-76.95
gestörte Detektionenfeature-based
probabilistic
merkmalsbasiert
probabilistisch
Datenassoziation
object tracking
corrupted detections
data association
Objektverfolgung
bic Book Industry Communication::U Computing & information technology::UY Computer science
Mynediad Ar-lein:34219
Tagiau: Ychwanegu Tag
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Crynodeb:This work proposes a feature-based probabilistic data association and tracking approach (FBPDATA) for multi-object tracking. FBPDATA is based on re-identification and tracking of individual video image points (feature points) and aims at solving the problems of partial, split (fragmented), bloated or missed detections, which are due to sensory or algorithmic restrictions, limited field of view of the sensors, as well as occlusion situations.

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