About: A Study on an Effective Feature Selection Method Using Hog-Family Feature for Human Detection

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About: A Study on an Effective Feature Selection Method Using Hog-Family Feature for Human Detection Goto Sponge NotDistinct Permalink

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://www.sersc.org/journals/IJMUE/vol9_no12_2014/19.pdf
Description	It is the important that Support Vector Machine (SVM) is the powerful learning machines and has been applied to varying task with generally acceptable performance. The SVM success for classification tasks in one domain is affected by features that it represents the instance of specific class. The representative and discriminative features that they are given, SVM learning is going to provide better generalization and consequently that we are able to obtain good classifier. In this paper, we define the problem of feature choices for tasks of human detections and measure the performance of each feature. And also we consider HOG-family feature to study an effective feature selection method. Finally we proposed the multi-scale HOG as a NEW family member in this feature group. In addition we also combine SVM with Principal Component Analysis (PCA) to reduce dimension of features and enhance the evaluation speed while retaining most of discriminative feature vectors. It is the important that Support Vector Machine (SVM) is the powerful learning machines and has been applied to varying task with generally acceptable performance. The SVM success for classification tasks in one domain is affected by features that it represents the instance of specific class. The representative and discriminative features that they are given, SVM learning is going to provide better generalization and consequently that we are able to obtain good classifier. In this paper, we define the problem of feature choices for tasks of human detections and measure the performance of each feature. And also we consider HOG-family feature to study an effective feature selection method. Finally we proposed the multi-scale HOG as a NEW family member in this feature group. In addition we also combine SVM with Principal Component Analysis (PCA) to reduce dimension of features and enhance the evaluation speed while retaining most of discriminative feature vectors. (en)
Title	A Study on an Effective Feature Selection Method Using Hog-Family Feature for Human Detection A Study on an Effective Feature Selection Method Using Hog-Family Feature for Human Detection (en)
skos:prefLabel	A Study on an Effective Feature Selection Method Using Hog-Family Feature for Human Detection A Study on an Effective Feature Selection Method Using Hog-Family Feature for Human Detection (en)
skos:notation	RIV/44555601:13440/14:43886126!RIV15-MSM-13440___
http://linked.open...avai/riv/aktivita	N
http://linked.open...avai/riv/aktivity	N
http://linked.open...iv/cisloPeriodika	12
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Měsíček, Libor Ko, Hoon
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	Univerzita Jana Evangelisty Purkyně v Ústí nad Labem / Přírodovědecká fakulta
http://linked.open...dnocenehoVysledku	1209
http://linked.open...ai/riv/idVysledku	RIV/44555601:13440/14:43886126
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Support Vector Machine, HOG-Family, Principal Component Analysis, Effective feature, Human detection (en)
http://linked.open.../riv/klicoveSlovo	Support Vector Machine Principal Component Analysis Effective feature HOG-Family Human detection
http://linked.open...odStatuVydavatele	KR - Korejská republika
http://linked.open...ontrolniKodProRIV	[1AFD19A212D0]
http://linked.open...i/riv/nazevZdroje	International Journal of Multimedia and Ubiquitous Engineering
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	9
http://linked.open...iv/tvurceVysledku	Měsíček, Libor Ko, Hoon Bae, Kitae
issn	1975-0080
number of pages	9 (xsd:int)
http://bibframe.org/vocab/doi	10.14257/ijmue.2014.9.12.19
http://localhost/t...ganizacniJednotka	13440

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