Synopsis
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.
"synopsis" may belong to another edition of this title.
Search results for Human Identification in Video-streaming: Based on Classifica...
Seller Image
Human Identification in Video-streaming
Published by
LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 3659669830
ISBN 13: 9783659669835
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783659669835
Seller Image
Human Identification in Video-streaming
Published by
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659669830
ISBN 13: 9783659669835
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: 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. Seller Inventory # 14642047
Buy New
£ 30.47
£ 42.31 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Human Identification in Video-streaming
Published by
LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 3659669830
ISBN 13: 9783659669835
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783659669835
Seller Image
Human Identification in Video-streaming : Based on Classification Parameters
Published by
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659669830
ISBN 13: 9783659669835
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783659669835
Seller Image
Human Identification in Video-streaming | Based on Classification Parameters
Published by
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659669830
ISBN 13: 9783659669835
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 104891308