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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 … Más…
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… Más…
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… Más…
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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Detalles del libro - Motion History Images for Action Recognition and Understanding
EAN (ISBN-13): 9781447147305
ISBN (ISBN-10): 1447147308
Año de publicación: 2012
Editorial: Springer-Verlag GmbH
116 Páginas
Idioma: eng/Englisch
Libro en la base de datos desde 2012-09-22T06:33:59+02:00 (Madrid)
Página de detalles modificada por última vez el 2023-08-15T01:37:03+02:00 (Madrid)
ISBN/EAN: 1447147308
ISBN - escritura alterna:
1-4471-4730-8, 978-1-4471-4730-5
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: rahm, rachel gibson, ahad
Título del libro: images, history motion, understanding history
Datos del la editorial
Autor: Md. Atiqur Rahman Ahad
Título: SpringerBriefs in Computer Science; Motion History Images for Action Recognition and Understanding
Editorial: Springer; Springer London
116 Páginas
Año de publicación: 2012-12-28
London; GB
Idioma: Inglés
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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