Human action recognition,Important area of computer vision research, an automated detection of events performed by humans from video data.An important task of low level video analysis is to extract useful information from a video sequence This book describes a novel feature for apturing information in a spatio-temporal volume based on regularity flow, what it is, how it works, and the benefits of using it for action recognition. The regularity flow describes the direction of least intensity change within a spatio-temporal volume. Our feature consists of weighted histograms of the computed regularity flow around selected interest points. We then apply this new feature to recognizing actions with experiments on known benchmark dataset.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Human action recognition,Important area of computer vision research, an automated detection of events performed by humans from video data.An important task of low level video analysis is to extract useful information from a video sequence This book describes a novel feature for apturing information in a spatio-temporal volume based on regularity flow, what it is, how it works, and the benefits of using it for action recognition. The regularity flow describes the direction of least intensity change within a spatio-temporal volume. Our feature consists of weighted histograms of the computed regularity flow around selected interest points. We then apply this new feature to recognizing actions with experiments on known benchmark dataset. 88 pp. Englisch. N° de réf. du vendeur 9783659920790
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Badodekar RakeshMr. Rakesh S. BadodekarPh.D (Pursuing), M.E. (Computer Engineering)Research Academy & Assistant ProfessorSinhgad Institute of Technology LonavalaHuman action recognition,Important area of computer vision research,. N° de réf. du vendeur 158248926
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Human action recognition,Important area of computer vision research, an automated detection of events performed by humans from video data.An important task of low level video analysis is to extract useful information from a video sequence This book describes a novel feature for apturing information in a spatio-temporal volume based on regularity flow, what it is, how it works, and the benefits of using it for action recognition. The regularity flow describes the direction of least intensity change within a spatio-temporal volume. Our feature consists of weighted histograms of the computed regularity flow around selected interest points. We then apply this new feature to recognizing actions with experiments on known benchmark dataset.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. N° de réf. du vendeur 9783659920790
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Human action recognition,Important area of computer vision research, an automated detection of events performed by humans from video data.An important task of low level video analysis is to extract useful information from a video sequence This book describes a novel feature for apturing information in a spatio-temporal volume based on regularity flow, what it is, how it works, and the benefits of using it for action recognition. The regularity flow describes the direction of least intensity change within a spatio-temporal volume. Our feature consists of weighted histograms of the computed regularity flow around selected interest points. We then apply this new feature to recognizing actions with experiments on known benchmark dataset. N° de réf. du vendeur 9783659920790
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Taschenbuch. Etat : Neu. Human Action Recognition | Rakesh Badodekar (u. a.) | Taschenbuch | 88 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659920790 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 103458735
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