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Machine Vision for Human Activity Recognition: Features & Algorithms
Editore:
Scholars' Press Mrz 2018, 2018
ISBN 10: 6202309555
ISBN 13: 9786202309554
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Human Activity Recognition (HAR) is a multifaceted aspect of computer vision and machine learning, which encompasses group activity pattern discovery, interpersonal interaction analysis, human gesture and action recognition. It has proliferating demands from wide applications, such as visual surveillance and security, entertainment, healthcare systems, video indexing, human-computer interaction and video retrieval. So over the last decade, a diversity of approaches has been developed to investigate the HAR. We overcome their limitations by proposing new robust features and the algorithms to build the unified HAR framework. Features play a vital role in HAR. Global features are generated using the entire video sequence while ignoring explicit temporal information but they capture the oriented and holistic underlying patterns. We found that HAR can be improved by fusing extra temporal information with global representation. 136 pp. Englisch. Codice articolo 9786202309554
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Machine Vision for Human Activity Recognition: Features & Algorithms
Print on DemandDa: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sandhan TusharTushar Sandhan has completed B. Tech. in Electronics and Communications Engineering from Indian Institute of Technology, Guwahati and M.S. in Electronics and Computer Engineering from Seoul National University, South Ko. Codice articolo 385941167
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Machine Vision for Human Activity Recognition: Features & Algorithms
ISBN 10: 6202309555
ISBN 13: 9786202309554
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Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. Codice articolo 26394700476
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Machine Vision for Human Activity Recognition: Features & Algorithms
ISBN 10: 6202309555
ISBN 13: 9786202309554
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Da: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Print on Demand. Codice articolo 401676643
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Machine Vision for Human Activity Recognition: Features & Algorithms
ISBN 10: 6202309555
ISBN 13: 9786202309554
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND. Codice articolo 18394700470
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Machine Vision for Human Activity Recognition: Features & Algorithms
Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Machine Vision for Human Activity Recognition: Features & Algorithms | Tushar Sandhan (u. a.) | Taschenbuch | 136 S. | Englisch | 2018 | Scholars' Press | EAN 9786202309554 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 113615751
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Machine Vision for Human Activity Recognition: Features & Algorithms
Editore:
Scholars' Press Mär 2018, 2018
ISBN 10: 6202309555
ISBN 13: 9786202309554
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Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Human Activity Recognition (HAR) is a multifaceted aspect of computer vision and machine learning, which encompasses group activity pattern discovery, interpersonal interaction analysis, human gesture and action recognition. It has proliferating demands from wide applications, such as visual surveillance and security, entertainment, healthcare systems, video indexing, human-computer interaction and video retrieval. So over the last decade, a diversity of approaches has been developed to investigate the HAR. We overcome their limitations by proposing new robust features and the algorithms to build the unified HAR framework. Features play a vital role in HAR. Global features are generated using the entire video sequence while ignoring explicit temporal information but they capture the oriented and holistic underlying patterns. We found that HAR can be improved by fusing extra temporal information with global representation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 136 pp. Englisch. Codice articolo 9786202309554
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Machine Vision for Human Activity Recognition: Features & Algorithms
Print on DemandDa: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Human Activity Recognition (HAR) is a multifaceted aspect of computer vision and machine learning, which encompasses group activity pattern discovery, interpersonal interaction analysis, human gesture and action recognition. It has proliferating demands from wide applications, such as visual surveillance and security, entertainment, healthcare systems, video indexing, human-computer interaction and video retrieval. So over the last decade, a diversity of approaches has been developed to investigate the HAR. We overcome their limitations by proposing new robust features and the algorithms to build the unified HAR framework. Features play a vital role in HAR. Global features are generated using the entire video sequence while ignoring explicit temporal information but they capture the oriented and holistic underlying patterns. We found that HAR can be improved by fusing extra temporal information with global representation. Codice articolo 9786202309554
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