Human Identification in Video-streaming - Couverture souple

Akhmetov Yerlan

9783659669835: Human Identification in Video-streaming

Couverture souple

ISBN 10 : 3659669830 ISBN 13 : 9783659669835

Editeur : LAP Lambert Academic Publishing, 2015

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L'identification humaine est la fonctionnalit� tendance dans la plupart des logiciels, qui est utilis� par les organisations de s�curit�. La plupart de ce type de logiciel est orient� uniquement pour l'identification humaine en le recherchant dans la base de donn�es du visage. Nous proposons le logiciel qui identifie l'humain en streaming vid�o par certains param�tres de classification. Dans notre travail, nous classons les personnes en �ge, sexe et groupes raciaux en fonction des traits du visage. Il y a 3 algorithmes de reconnaissance faciale : Eigenfaces, Fisherfaces et Histogrammes de motifs binaires locaux ; qui conviennent pour les t�ches de classification. Pour chaque algorithme, des classificateurs avec 1500 images provenant du m�me ensemble de donn�es sont form�s. Le but de la recherche est de d�terminer le plus appropri� parmi les algorithmes de reconnaissance faciale choisis pour la t�che d'identification humaine en fonction des param�tres de classification. � cette fin, une exp�rience de test de performance, qui d�termine le temps de reconnaissance et le taux des algorithmes de reconnaissance faciale, est effectu�e. Selon les r�sultats de l'exp�rience, Fisherfaces est s�lectionn� comme algorithme le plus appropri� pour notre t�che d'identification humaine.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: LAP Lambert Academic Publishing
Date d'�dition: 2015
Langue: anglais
ISBN 10: 3659669830
ISBN 13: 9783659669835
Reliure: Broch�
Nombre de pages: 76
Coordonn�es du fabricant: non disponible
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Human Identification in Video-streaming

Yerlan Akhmetov

Edit� par LAP LAMBERT Academic Publishing Jan 2015, 2015

ISBN 10 : 3659669830 ISBN 13 : 9783659669835

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Human identification is the trending feature in most software, which is used by security organizations. Most of this type of software is oriented only for human identification by searching him from face database. We propose the software that identifies human in video-streaming by some classification parameters. In our work we classify people into age, gender, and race groups based on facial features. There are 3 face recognition algorithms: Eigenfaces, Fisherfaces and Local Binary Patterns Histograms; that are suitable for classification task. For every algorithm classifiers with 1500 images from same dataset are trained. Purpose of the research is to determine the most appropriate one from chosen face recognition algorithms for human identification task based on classification parameters. For this purpose performance test experiment, which determines the recognition time and rate of face recognition algorithms, is performed. According to the results of experiment, Fisherfaces is selected as most appropriate algorithm for our human identification task. 76 pp. Englisch. N� de r�f. du vendeur 9783659669835

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Human Identification in Video-streaming

Yerlan Akhmetov

Edit� par LAP LAMBERT Academic Publishing, 2015

ISBN 10 : 3659669830 ISBN 13 : 9783659669835

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Akhmetov YerlanYerlan Akhmetov has been interested in IT and has programmed softwaresince 2008. He received his B.Sc from Suleyman Demirel University and his M.Sc from International Information Technologies University. He currently r. N� de r�f. du vendeur 14642047

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Human Identification in Video-streaming

Yerlan Akhmetov

Edit� par LAP LAMBERT Academic Publishing Jan 2015, 2015

ISBN 10 : 3659669830 ISBN 13 : 9783659669835

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Human identification is the trending feature in most software, which is used by security organizations. Most of this type of software is oriented only for human identification by searching him from face database. We propose the software that identifies human in video-streaming by some classification parameters. In our work we classify people into age, gender, and race groups based on facial features. There are 3 face recognition algorithms: Eigenfaces, Fisherfaces and Local Binary Patterns Histograms; that are suitable for classification task. For every algorithm classifiers with 1500 images from same dataset are trained. Purpose of the research is to determine the most appropriate one from chosen face recognition algorithms for human identification task based on classification parameters. For this purpose performance test experiment, which determines the recognition time and rate of face recognition algorithms, is performed. According to the results of experiment, Fisherfaces is selected as most appropriate algorithm for our human identification task.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 76 pp. Englisch. N� de r�f. du vendeur 9783659669835

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Human Identification in Video-streaming : Based on Classification Parameters

Yerlan Akhmetov

Edit� par LAP LAMBERT Academic Publishing, 2015

ISBN 10 : 3659669830 ISBN 13 : 9783659669835

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Human identification is the trending feature in most software, which is used by security organizations. Most of this type of software is oriented only for human identification by searching him from face database. We propose the software that identifies human in video-streaming by some classification parameters. In our work we classify people into age, gender, and race groups based on facial features. There are 3 face recognition algorithms: Eigenfaces, Fisherfaces and Local Binary Patterns Histograms; that are suitable for classification task. For every algorithm classifiers with 1500 images from same dataset are trained. Purpose of the research is to determine the most appropriate one from chosen face recognition algorithms for human identification task based on classification parameters. For this purpose performance test experiment, which determines the recognition time and rate of face recognition algorithms, is performed. According to the results of experiment, Fisherfaces is selected as most appropriate algorithm for our human identification task. N� de r�f. du vendeur 9783659669835

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