This HTML5 document contains 34 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n12http://localhost/temp/predkladatel/
n18http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n16http://linked.opendata.cz/resource/domain/vavai/projekt/
n14http://linked.opendata.cz/resource/domain/vavai/subjekt/
n13http://linked.opendata.cz/ontology/domain/vavai/
skoshttp://www.w3.org/2004/02/skos/core#
n4http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n8http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F68407700%3A21230%2F12%3A00200616%21RIV13-GA0-21230___/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n17http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n5http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n6http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n7http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F12%3A00200616%21RIV13-GA0-21230___
rdf:type
skos:Concept n13:Vysledek
dcterms:description
In this report, we present a method for online tracking of multiple rigid low-relative-depth objects or object surfaces from a single moving or static camera. The method determines the number of tracked entities in the scene automatically and initialises them without any human interaction or by running a specific object detector. Tracking is formulated as an energy-based multi-model fitting problem based on displacement of a semi-dense set of local Lukas-Kanade trackers. An over-complete set of motion models is generated in each frame and fitted considering the motion similarity. For each detected surface the motion model is propagated in time and to ensure temporal consistency and locality of the tracked entities in the scene two novel energy terms are introduced. We demonstrate the abilities of the proposed algorithm on several long real-world sequences. The algorithm works at 2-6fps depending on the complexity of the scene. In this report, we present a method for online tracking of multiple rigid low-relative-depth objects or object surfaces from a single moving or static camera. The method determines the number of tracked entities in the scene automatically and initialises them without any human interaction or by running a specific object detector. Tracking is formulated as an energy-based multi-model fitting problem based on displacement of a semi-dense set of local Lukas-Kanade trackers. An over-complete set of motion models is generated in each frame and fitted considering the motion similarity. For each detected surface the motion model is propagated in time and to ensure temporal consistency and locality of the tracked entities in the scene two novel energy terms are introduced. We demonstrate the abilities of the proposed algorithm on several long real-world sequences. The algorithm works at 2-6fps depending on the complexity of the scene.
dcterms:title
Motion-Based Tracking of Multiple Low-Relative-Depth Objects Motion-Based Tracking of Multiple Low-Relative-Depth Objects
skos:prefLabel
Motion-Based Tracking of Multiple Low-Relative-Depth Objects Motion-Based Tracking of Multiple Low-Relative-Depth Objects
skos:notation
RIV/68407700:21230/12:00200616!RIV13-GA0-21230___
n13:predkladatel
n14:orjk%3A21230
n4:aktivita
n17:P
n4:aktivity
P(GBP103/12/G084)
n4:dodaniDat
n7:2013
n4:domaciTvurceVysledku
n18:1711326 n18:4028856
n4:druhVysledku
n6:O
n4:duvernostUdaju
n9:S
n4:entitaPredkladatele
n8:predkladatel
n4:idSjednocenehoVysledku
151904
n4:idVysledku
RIV/68407700:21230/12:00200616
n4:jazykVysledku
n5:eng
n4:klicovaSlova
tracking; motion segmentation; on-line
n4:klicoveSlovo
n15:tracking n15:on-line n15:motion%20segmentation
n4:kontrolniKodProRIV
[42F88FC06325]
n4:obor
n10:JD
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:projekt
n16:GBP103%2F12%2FG084
n4:rokUplatneniVysledku
n7:2012
n4:tvurceVysledku
Šochman, Jan Matas, Jiří
n12:organizacniJednotka
21230