About: Effective Feature Selection Method Using Hog-Family Feature for Human Detection

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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)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://onlinepresent.org/proceedings/vol52_2014/23.pdf
Description	Support Vector Machine (SVM) is one of powerful learning machine and has been applied to varying task with generally acceptable performance. The success of SVM for classification tasks in one domain is affected by fea-tures which represent the instance of specific class. Given the representative and discriminative features, SVM learning will give good generalization and consequently we can obtain good classifier. In this paper, we will assess the problem of feature choices for human detection tasks and measure the perfor-mance of each feature. Here we will consider HOG-family feature. We pro-posed the multi-scale HOG as a NEW family member in this feature group. We also combine SVM with Principal Component Analysis (PCA) to reduce di-mension of features and enhance the evaluation speed while retaining most of discriminative feature vectors. Support Vector Machine (SVM) is one of powerful learning machine and has been applied to varying task with generally acceptable performance. The success of SVM for classification tasks in one domain is affected by fea-tures which represent the instance of specific class. Given the representative and discriminative features, SVM learning will give good generalization and consequently we can obtain good classifier. In this paper, we will assess the problem of feature choices for human detection tasks and measure the perfor-mance of each feature. Here we will consider HOG-family feature. We pro-posed the multi-scale HOG as a NEW family member in this feature group. We also combine SVM with Principal Component Analysis (PCA) to reduce di-mension of features and enhance the evaluation speed while retaining most of discriminative feature vectors. (en)
Title	Effective Feature Selection Method Using Hog-Family Feature for Human Detection Effective Feature Selection Method Using Hog-Family Feature for Human Detection (en)
skos:prefLabel	Effective Feature Selection Method Using Hog-Family Feature for Human Detection Effective Feature Selection Method Using Hog-Family Feature for Human Detection (en)
skos:notation	RIV/44555601:13440/14:43885982!RIV15-MSM-13440___
http://linked.open...avai/riv/aktivita	N
http://linked.open...avai/riv/aktivity	N
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Měsíček, Libor Ko, Hoon
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	Univerzita Jana Evangelisty Purkyně v Ústí nad Labem / Přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	13627
http://linked.open...ai/riv/idVysledku	RIV/44555601:13440/14:43885982
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Support Vector Machine (en)
http://linked.open.../riv/klicoveSlovo	Support Vector Machine
http://linked.open...ontrolniKodProRIV	[A6AD80D4D223]
http://linked.open...v/mistoKonaniAkce	Budapešť, Maďarsko
http://linked.open...i/riv/mistoVydani	Budapešť
http://linked.open...i/riv/nazevZdroje	Advanced Science and Technology Letters
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Měsíček, Libor Ko, Hoon Bae, Kitae
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-08-14 (xsd:date)
issn	2287-1233
number of pages	10 (xsd:int)
http://bibframe.org/vocab/doi	10.14257/astl.2014.52.23
http://purl.org/ne...btex#hasPublisher	SERSC (Science & Engineering Research Support society)
http://localhost/t...ganizacniJednotka	13440

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