Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786202309554
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Vendeur : Books Puddle, New York, NY, Etats-Unis
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Vendeur : moluna, Greven, Allemagne
Etat : 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. N° de réf. du vendeur 385941167
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand. N° de réf. du vendeur 401676643
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18394700470
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 113615751
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. 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. N° de réf. du vendeur 9786202309554
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : 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. N° de réf. du vendeur 9786202309554
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