About: Exploiting neighbors for faster scanning window detection in images

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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 objects through scanning windows is widely used and accepted method. The detectors traditionally do not make use of information that is shared between neighboring image positions although this fact means that the traditional solutions are not optimal. Addressing this, we propose an efficient and computationally inexpensive approach how to exploit the shared information and thus increase speed of detection. The main idea is to predict responses of the classifier in neighbor windows close to the ones already evaluated and skip such positions where the prediction is confident enough. In order to predict the responses, the proposed algorithm builds a new classifier which reuses the set of image features already exploited. The results show that the proposed approach can reduce scanning time up to four times with only minor increase of error rate. On the presented examples it is shown that, it is possible to reach less than one feature computed on average per single image position. The paper pr Detection of objects through scanning windows is widely used and accepted method. The detectors traditionally do not make use of information that is shared between neighboring image positions although this fact means that the traditional solutions are not optimal. Addressing this, we propose an efficient and computationally inexpensive approach how to exploit the shared information and thus increase speed of detection. The main idea is to predict responses of the classifier in neighbor windows close to the ones already evaluated and skip such positions where the prediction is confident enough. In order to predict the responses, the proposed algorithm builds a new classifier which reuses the set of image features already exploited. The results show that the proposed approach can reduce scanning time up to four times with only minor increase of error rate. On the presented examples it is shown that, it is possible to reach less than one feature computed on average per single image position. The paper pr (en)
Title	Exploiting neighbors for faster scanning window detection in images Exploiting neighbors for faster scanning window detection in images (en)
skos:prefLabel	Exploiting neighbors for faster scanning window detection in images Exploiting neighbors for faster scanning window detection in images (en)
skos:notation	RIV/00216305:26230/10:PU89678!RIV11-MSM-26230___
http://linked.open...avai/riv/aktivita	P S Z
http://linked.open...avai/riv/aktivity	P(LC06008), S, Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Herout, Adam Zemčík, Pavel Hradiš, Michal
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	258469
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/10:PU89678
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	real-time object detection, image features, WaldBoost<br> (en)
http://linked.open.../riv/klicoveSlovo	image features WaldBoost<br> real-time object detection
http://linked.open...ontrolniKodProRIV	[944C07DBF6AF]
http://linked.open...v/mistoKonaniAkce	Sydney, Australia
http://linked.open...i/riv/mistoVydani	Sydney
http://linked.open...i/riv/nazevZdroje	ACIVS 2010
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	Center of Computer Graphics
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Herout, Adam Zemčík, Pavel Hradiš, Michal
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-12-13 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
number of pages	12 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-17690-6
http://localhost/t...ganizacniJednotka	26230
is http://linked.open...avai/riv/vysledek of	Exploiting neighbors for faster scanning window detection in images Exploiting neighbors for faster scanning window detection in images Exploiting neighbors for faster scanning window detection in images

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