About: Tracking with Context as a Semi-supervised Learning and Labeling Problem

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	It is suggested how a Markov random field can be used for object tracking with context information. The tracking is formulated as a two layer process. In the first phase, the image is represented by a set of feature points which are tracked by a standard tracker. In the second phase, the proposed semi-supervised learning and labeling algorithm is used to label the points to three classes - object, background and companion. The object state (pose) is defined by the set of points labeled as the object. The companion represents the object context and contains non-object points with a motion similar to the motion of the object. As initialization, labels of the object points only are provided by a user in the very first frame. The appearance and motion models of the three classes and the labels of the remaining points in the whole video sequence are estimated in a GrabCut fashion. We show that the use of the companion class together with a 3D (space-time) Markov random field helps to identify object points behind full occlusions or under strong appearance changes It is suggested how a Markov random field can be used for object tracking with context information. The tracking is formulated as a two layer process. In the first phase, the image is represented by a set of feature points which are tracked by a standard tracker. In the second phase, the proposed semi-supervised learning and labeling algorithm is used to label the points to three classes - object, background and companion. The object state (pose) is defined by the set of points labeled as the object. The companion represents the object context and contains non-object points with a motion similar to the motion of the object. As initialization, labels of the object points only are provided by a user in the very first frame. The appearance and motion models of the three classes and the labels of the remaining points in the whole video sequence are estimated in a GrabCut fashion. We show that the use of the companion class together with a 3D (space-time) Markov random field helps to identify object points behind full occlusions or under strong appearance changes (en)
Title	Tracking with Context as a Semi-supervised Learning and Labeling Problem Tracking with Context as a Semi-supervised Learning and Labeling Problem (en)
skos:prefLabel	Tracking with Context as a Semi-supervised Learning and Labeling Problem Tracking with Context as a Semi-supervised Learning and Labeling Problem (en)
skos:notation	RIV/68407700:21230/12:00200377!RIV13-MSM-21230___
http://linked.open...avai/predkladatel	Fakulta elektrotechnická
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(7E10044), P(7E10047)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Cerman, Lukáš Hlaváč, Václav
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	174782
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/12:00200377
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Motion; Tracking and Video Analysis; Classification and Clustering (en)
http://linked.open.../riv/klicoveSlovo	Classification and Clustering Tracking and Video Analysis Motion
http://linked.open...ontrolniKodProRIV	[84FED151BEF3]
http://linked.open...v/mistoKonaniAkce	Tsukuba
http://linked.open...i/riv/mistoVydani	New York
http://linked.open...i/riv/nazevZdroje	ICPR 2012: Proceedings of 21st International Conference on Pattern Recognition
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Natural human-robot cooperation in dynamic environments Humanoids with auditory and visual abilities in populated spaces
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Hlaváč, Václav Cerman, Lukáš
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2012-11-11 (xsd:date)
number of pages	4 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-4-9906441-0-9
http://localhost/t...ganizacniJednotka	21230
is http://linked.open...avai/riv/vysledek of	Tracking with Context as a Semi-supervised Learning and Labeling Problem

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