Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Human Identification in Video-streaming: Based on Classifica...
Immagini fornite dal venditore
Human Identification in Video-streaming
Editore:
LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 3659669830
ISBN 13: 9783659669835
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9783659669835
Compra nuovo
EUR 39,90
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 2 disponibili
Immagini fornite dal venditore
Human Identification in Video-streaming
Editore:
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659669830
ISBN 13: 9783659669835
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: 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. Codice articolo 14642047
Compra nuovo
EUR 34,25
Spedizione EUR 48,99
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Human Identification in Video-streaming
Editore:
LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 3659669830
ISBN 13: 9783659669835
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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 Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Codice articolo 9783659669835
Compra nuovo
EUR 39,90
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Human Identification in Video-streaming : Based on Classification Parameters
Editore:
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659669830
ISBN 13: 9783659669835
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: 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. Codice articolo 9783659669835
Compra nuovo
EUR 39,90
Spedizione EUR 60,66
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Human Identification in Video-streaming | Based on Classification Parameters
Editore:
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659669830
ISBN 13: 9783659669835
Nuovo
Taschenbuch
Da: preigu, Osnabrück, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Human Identification in Video-streaming | Based on Classification Parameters | Yerlan Akhmetov | Taschenbuch | 76 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659669835 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 104891308
Compra nuovo
EUR 36,25
Spedizione EUR 70,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 5 disponibili