About: Speeding up Viola–Jones Algorithm using Multi

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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	Graphic Processing Units (GPUs) offer cheap and high-performance computation capabilities by offloading compute-intensive portions of the application to the GPU, while the remainder of the code still runs on a CPU. This paper introduces an multi–GPU CUDA implementation of training of object detection using Viola–Jones algorithm that has accelerated of two the most time consuming operations in training process by using two dual–core NVIDIA GeForce GTX 690. When compared to single thread implementation on Intel Core i7 3770 with 3.7GHz frequency, the first accelerated part of training process was speeded up 151 times and the second accelerated part was speeded up 124 times using two dual–core GPUs. This paper examines overall computational time of the Viola–Jones training process with the use of: one core CPU, one GPU, two GPUs, 3GPUs and 4GPUs. Trained detector was applied on testing set containing real world images. Graphic Processing Units (GPUs) offer cheap and high-performance computation capabilities by offloading compute-intensive portions of the application to the GPU, while the remainder of the code still runs on a CPU. This paper introduces an multi–GPU CUDA implementation of training of object detection using Viola–Jones algorithm that has accelerated of two the most time consuming operations in training process by using two dual–core NVIDIA GeForce GTX 690. When compared to single thread implementation on Intel Core i7 3770 with 3.7GHz frequency, the first accelerated part of training process was speeded up 151 times and the second accelerated part was speeded up 124 times using two dual–core GPUs. This paper examines overall computational time of the Viola–Jones training process with the use of: one core CPU, one GPU, two GPUs, 3GPUs and 4GPUs. Trained detector was applied on testing set containing real world images. (en)
Title	Speeding up Viola–Jones Algorithm using Multi–Core GPU Implementation Speeding up Viola–Jones Algorithm using Multi–Core GPU Implementation (en)
skos:prefLabel	Speeding up Viola–Jones Algorithm using Multi–Core GPU Implementation Speeding up Viola–Jones Algorithm using Multi–Core GPU Implementation (en)
skos:notation	RIV/00216305:26220/13:PU104507!RIV14-MPO-26220___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(FR-TI4/151), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Burget, Radim Mašek, Jan Uher, 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	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	107021
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/13:PU104507
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	CUDA, face detection, high performance computing, multi–GPU, Viola–Jones detector. (en)
http://linked.open.../riv/klicoveSlovo	CUDA high performance computing Viola–Jones detector. multi–GPU face detection
http://linked.open...ontrolniKodProRIV	[80FDA60415B4]
http://linked.open...v/mistoKonaniAkce	Rome
http://linked.open...i/riv/mistoVydani	Neuveden
http://linked.open...i/riv/nazevZdroje	36th International Conference on Telecommunications and Signal processing
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Výzkum a vývoj technologie pro detekci emocí v nestrukturovaných datech
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Burget, Radim Mašek, Jan Uher, Václav Güney, Selda
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-07-02 (xsd:date)
number of pages	5 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/TSP.2013.6614050
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-1-4799-0402-0
http://localhost/t...ganizacniJednotka	26220

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