About: EnMS: Early non-Maxima Suppression

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Detection of objects in images using statistical classifiers is a well studied and documented technique. Different applications of such detectors often require selection of the image position with the highest response of the detector -- they perform non-maxima suppression. This article introduces the concept of Early non-Maxima Suppression, which aims to reduce necessary computations by making the non-Maxima Suppression decision early based on incomplete information provided by a partially evaluated classifier. We show that the error of one such speculative decision with respect to a decision made based on response of the complete classifier can be estimated by collecting statistics on unlabeled data. The article then considers a sequential strategy of multiple early non-Maxima suppression tests which follows the structure of soft-cascade detectors commonly used for object detection. We also show that an optimal (fastest for requested error rate) suppression strategy can be created b Detection of objects in images using statistical classifiers is a well studied and documented technique. Different applications of such detectors often require selection of the image position with the highest response of the detector -- they perform non-maxima suppression. This article introduces the concept of Early non-Maxima Suppression, which aims to reduce necessary computations by making the non-Maxima Suppression decision early based on incomplete information provided by a partially evaluated classifier. We show that the error of one such speculative decision with respect to a decision made based on response of the complete classifier can be estimated by collecting statistics on unlabeled data. The article then considers a sequential strategy of multiple early non-Maxima suppression tests which follows the structure of soft-cascade detectors commonly used for object detection. We also show that an optimal (fastest for requested error rate) suppression strategy can be created b (en)
Title	EnMS: Early non-Maxima Suppression EnMS: Early non-Maxima Suppression (en)
skos:prefLabel	EnMS: Early non-Maxima Suppression EnMS: Early non-Maxima Suppression (en)
skos:notation	RIV/00216305:26230/12:PU95988!RIV13-MSM-26230___
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(LC06008), Z(MSM0021630528)
http://linked.open...iv/cisloPeriodika	2
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Herout, Adam Zemčík, Pavel Hradiš, Michal
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
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	134455
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/12:PU95988
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Non-Maxima Suppression, Object Detection, WaldBoost, Sequential Probability Ratio Test (en)
http://linked.open.../riv/klicoveSlovo	Object Detection Non-Maxima Suppression Sequential Probability Ratio Test WaldBoost
http://linked.open...odStatuVydavatele	GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV	[683772D01B41]
http://linked.open...i/riv/nazevZdroje	PATTERN ANALYSIS AND APPLICATIONS
http://linked.open...in/vavai/riv/obor	IN
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	2012
http://linked.open...v/svazekPeriodika	2012
http://linked.open...iv/tvurceVysledku	Herout, Adam Zemčík, Pavel Hradiš, Michal
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
issn	1433-7541
number of pages	12 (xsd:int)
http://localhost/t...ganizacniJednotka	26230

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