About: Cheap Rendering vs. Costly Annotation: Rendered Omnidirectional Dataset of Vehicles

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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	Detection of vehicles in traffic surveillance needs good and large training datasets in order to achieve competitive detection rates. We are showing an approach to automatic synthesis of custom datasets, simulating various major influences: viewpoint, camera parameters, sunlight, surrounding environment, etc. Our goal is to create a competitive vehicle detector which %22has not seen a real car before.%22 We are using Blender as the modeling and rendering engine. A suitable scene graph accompanied by a set of scripts was created, that allows simple configuration of the synthesized dataset. The generator is also capable of storing rich set of metadata that are used as annotations of the synthesized images. We synthesized several experimental datasets, evaluated their statistical properties, as compared to real-life datasets. Most importantly, we trained a detector on the synthetic data. Its detection performance is comparable to a detector trained on state-of-the-art real-life dataset. Synthesis Detection of vehicles in traffic surveillance needs good and large training datasets in order to achieve competitive detection rates. We are showing an approach to automatic synthesis of custom datasets, simulating various major influences: viewpoint, camera parameters, sunlight, surrounding environment, etc. Our goal is to create a competitive vehicle detector which %22has not seen a real car before.%22 We are using Blender as the modeling and rendering engine. A suitable scene graph accompanied by a set of scripts was created, that allows simple configuration of the synthesized dataset. The generator is also capable of storing rich set of metadata that are used as annotations of the synthesized images. We synthesized several experimental datasets, evaluated their statistical properties, as compared to real-life datasets. Most importantly, we trained a detector on the synthetic data. Its detection performance is comparable to a detector trained on state-of-the-art real-life dataset. Synthesis (en)
Title	Cheap Rendering vs. Costly Annotation: Rendered Omnidirectional Dataset of Vehicles Cheap Rendering vs. Costly Annotation: Rendered Omnidirectional Dataset of Vehicles (en)
skos:prefLabel	Cheap Rendering vs. Costly Annotation: Rendered Omnidirectional Dataset of Vehicles Cheap Rendering vs. Costly Annotation: Rendered Omnidirectional Dataset of Vehicles (en)
skos:notation	RIV/00216305:26230/14:PU112006!RIV15-MSM-26230___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0070), P(TE01020415), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Juránek, Roman Herout, Adam Šlosár, Peter
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	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	7058
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/14:PU112006
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Realistic Rendering, Dataset of Vehicles, Omnidirectional Views, Computer Vision, Object Detection (en)
http://linked.open.../riv/klicoveSlovo	Realistic Rendering Object Detection Computer Vision Dataset of Vehicles Omnidirectional Views
http://linked.open...ontrolniKodProRIV	[E92F7D0EEA40]
http://linked.open...v/mistoKonaniAkce	Smolenice
http://linked.open...i/riv/mistoVydani	Smolenice
http://linked.open...i/riv/nazevZdroje	Proceedings of Spring Conference on Computer Graphics
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	IT4Innovations Centre of Excellence V3C - Visual Computing Competence Center
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Herout, Adam Juránek, Roman Šlosár, Peter
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2014-05-27 (xsd:date)
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Univerzita Komenského v Bratislave
https://schema.org/isbn	978-80-223-3601-7
http://localhost/t...ganizacniJednotka	26230

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