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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Bibliografische gegevens

Hoofdauteur:	Grinberg, Michael
Formaat:	Online
Taal:	Engels
Gepubliceerd in:	KIT Scientific Publishing 2021
Onderwerpen:	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
Online toegang:	34219
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