Isbn: 9783319073859 - moving object detection using background subtraction (8 risultati)

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      Paperback. Condizione: Brand New. 2014 edition. 80 pages. 9.00x6.00x0.25 inches. In Stock.

    • Lingua: Inglese

      Editore: Springer, 2014

      3319073850 / 9783319073859

      Serie: Libro 142 di 322 - SpringerBriefs in Computer Science

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      Taschenbuch. Condizione: Neu. Moving Object Detection Using Background Subtraction | Soharab Hossain Shaikh (u. a.) | Taschenbuch | SpringerBriefs in Computer Science | x | Englisch | 2014 | Springer | EAN 9783319073859 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

    • Lingua: Inglese

      Editore: Springer, 2014

      3319073850 / 9783319073859

      Serie: Libro 142 di 322 - SpringerBriefs in Computer Science

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    • Lingua: Inglese

      Editore: Springer, 2014

      3319073850 / 9783319073859

      Serie: Libro 142 di 322 - SpringerBriefs in Computer Science

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    • Lingua: Inglese

      Editore: Springer International Publishing Jul 2014, 2014

      3319073850 / 9783319073859

      Serie: Libro 142 di 322 - SpringerBriefs in Computer Science

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

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field. 80 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer International Publishing, 2014

      3319073850 / 9783319073859

      Serie: Libro 142 di 322 - SpringerBriefs in Computer Science

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      Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes supplementary material: sn.pub/extrasThis Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approa.

    • Lingua: Inglese

      Editore: Palgrave Macmillan, 2014

      3319073850 / 9783319073859

      Serie: Libro 142 di 322 - SpringerBriefs in Computer Science

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

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      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field.

    • Lingua: Inglese

      Editore: Springer, Palgrave Macmillan Jul 2014, 2014

      3319073850 / 9783319073859

      Serie: Libro 142 di 322 - SpringerBriefs in Computer Science

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 80 pp. Englisch.