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

dc.creator	Grinberg, Michael
dc.date.accessioned	2021-02-22T19:51:01Z
dc.date.available	2021-02-22T19:51:01Z
dc.date.created	2018
dc.description.abstract	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.	spa
dc.format.extent	XXII, 256 páginas	spa
dc.format.mimetype	application/pdf	spa
dc.identifier.doi	10.5445/KSP/1000081430
dc.identifier.isbn	9783731507819
dc.identifier.other	https://directory.doabooks.org/handle/20.500.12854/47470
dc.identifier.uri	https://hdl.handle.net/20.500.12010/17593
dc.language.iso	eng	spa
dc.publisher	KIT Scientific Publishing	spa
dc.rights.accessrights	info:eu-repo/semantics/openAccess	spa
dc.rights.creativecommons	https://creativecommons.org/licenses/by-sa/4.0/
dc.rights.local	Abierto (Texto Completo)	spa
dc.subject	Gestörte Detektionenfeature-based	spa
dc.subject	Probabilistic	spa
dc.subject	Merkmalsbasiert	spa
dc.subject.lemb	Imágenes tridimensionales	spa
dc.subject.lemb	Sistemas de imágenes	spa
dc.subject.lemb	Video 3D	spa
dc.title	Feature-Based Probabilistic Data Association for Video-Based Multi-Object Tracking	spa
dc.type.coar	http://purl.org/coar/resource_type/c_2f33	spa

Archivos

Mostrando 1 - 1 de 1

Mostrando 1 - 1 de 1