Isbn: 9786206153832 - certain investigations on moving vehicle detection and classification: an ideal solution for moving vehicle detection (6 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2023

    6206153835 / 9786206153832

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    Da: preigu, Osnabrück, Germaniapreigu

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    EUR 58,75

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    Taschenbuch. Condizione: Neu. Certain Investigations on Moving Vehicle Detection and Classification | An Ideal Solution for Moving Vehicle Detection | Shyamala A. (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206153832 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2023

    6206153835 / 9786206153832

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    Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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    EUR 130,67

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    paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Mrz 2023, 2023

    6206153835 / 9786206153832

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 68,90

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Moving object detection and segmentation is important for traffic surveillance and object recognition in security surveillance. Moving object detection in dynamic environment video is more complex than the static environment videos. This proposed methodology consists of background subtraction and classification modules. The absolute difference image is constructed in the background subtraction module. The features are extracted from this difference image and these extracted features are trained and classified using ANFIS classification module. The moving object detection for video surveillance is proposed using classification approach Co-Active Neuro Fuzzy Expert System (CANFES) classifier. 152 pp. Englisch.

  • Lingua: Inglese

    Editore: LAP Lambert Academic Publishing, 2023

    6206153835 / 9786206153832

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    Da: moluna, Greven, Germaniamoluna

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    EUR 55,87

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Moving object detection and segmentation is important for traffic surveillance and object recognition in security surveillance. Moving object detection in dynamic environment video is more complex than the static environment videos. This proposed methodolog.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2023

    6206153835 / 9786206153832

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 98,14

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Moving object detection and segmentation is important for traffic surveillance and object recognition in security surveillance. Moving object detection in dynamic environment video is more complex than the static environment videos. This proposed methodology consists of background subtraction and classification modules. The absolute difference image is constructed in the background subtraction module. The features are extracted from this difference image and these extracted features are trained and classified using ANFIS classification module. The moving object detection for video surveillance is proposed using classification approach Co-Active Neuro Fuzzy Expert System (CANFES) classifier.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Mär 2023, 2023

    6206153835 / 9786206153832

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    EUR 68,90

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Moving object detection and segmentation is important for traffic surveillance and object recognition in security surveillance. Moving object detection in dynamic environment video is more complex than the static environment videos. This proposed methodology consists of background subtraction and classification modules. The absolute difference image is constructed in the background subtraction module. The features are extracted from this difference image and these extracted features are trained and classified using ANFIS classification module. The moving object detection for video surveillance is proposed using classification approach Co-Active Neuro Fuzzy Expert System (CANFES) classifier.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch.