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2012, ISBN: 9781447147305
eBooks, eBook Download (PDF), 2013, Human action analysis and recognition is a relatively mature field, yet one which is often not well understood by students and researchers. The large … Mehr…
ISBN: 9781447147305
Human action analysis and recognition is a relatively mature field, yet one which is often not well understood by students and researchers. The large number of possible variations in hum… Mehr…
ISBN: 9781447147305
*Motion History Images for Action Recognition and Understanding* / pdf eBook für 53.49 € / Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet Medien > Bücher nein eBook a… Mehr…
ISBN: 9781447147305
Motion History Images for Action Recognition and Understanding: ab 53.49 € eBooks > Sachthemen & Ratgeber > Computer & Internet Springer-Verlag GmbH eBook als pdf, Springer-Verlag GmbH
ISBN: 9781447147305
; EPUB; Computing > Computer science > Artificial intelligence > Pattern recognition, Transworld
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Detailangaben zum Buch - Motion History Images for Action Recognition and Understanding
EAN (ISBN-13): 9781447147305
ISBN (ISBN-10): 1447147308
Erscheinungsjahr: 2012
Herausgeber: Springer-Verlag GmbH
116 Seiten
Sprache: eng/Englisch
Buch in der Datenbank seit 2012-09-22T06:33:59+02:00 (Berlin)
Detailseite zuletzt geändert am 2023-08-15T01:37:03+02:00 (Berlin)
ISBN/EAN: 1447147308
ISBN - alternative Schreibweisen:
1-4471-4730-8, 978-1-4471-4730-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: rahm, rachel gibson, ahad
Titel des Buches: images, history motion, understanding history
Daten vom Verlag:
Autor/in: Md. Atiqur Rahman Ahad
Titel: SpringerBriefs in Computer Science; Motion History Images for Action Recognition and Understanding
Verlag: Springer; Springer London
116 Seiten
Erscheinungsjahr: 2012-12-28
London; GB
Sprache: Englisch
53,49 € (DE)
59,00 CHF (CH)
Available
XVI, 116 p. 34 illus.
EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Anwendungs-Software; Mustererkennung; Verstehen; Motion History Image (MHI); C; Automated Pattern Recognition; Computer Science; BC
Human action analysis and recognition is a relatively mature field, yet one which is often not well understood by students and researchers. The large number of possible variations in human motion and appearance, camera viewpoint, and environment, present considerable challenges. Some important and common problems remain unsolved by the computer vision community. However, many valuable approaches have been proposed over the past decade, including the motion history image (MHI) method. This method has received significant attention, as it offers greater robustness and performance than other techniques. This work presents a comprehensive review of these state-of-the-art approaches and their applications, with a particular focus on the MHI method and its variants.Examines the state-of-the-art motion history image (MHI) method Suitable for both undergraduate and graduate students familiar with basic image processing, and for researchers involved in human action and activity representation and recognition The author has more than six years’ experience in this field Includes supplementary material: sn.pub/extras
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