2012, ISBN: 9781447147305
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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 … Plus…
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… Plus…
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… Plus…
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
Données bibliographiques du meilleur livre correspondant
Informations détaillées sur le livre - Motion History Images for Action Recognition and Understanding
EAN (ISBN-13): 9781447147305
ISBN (ISBN-10): 1447147308
Date de parution: 2012
Editeur: Springer-Verlag GmbH
116 Pages
Langue: eng/Englisch
Livre dans la base de données depuis 2012-09-22T06:33:59+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-08-15T01:37:03+02:00 (Zurich)
ISBN/EAN: 9781447147305
ISBN - Autres types d'écriture:
1-4471-4730-8, 978-1-4471-4730-5
Autres types d'écriture et termes associés:
Auteur du livre: rahm, rachel gibson, ahad
Titre du livre: images, history motion, understanding history
Données de l'éditeur
Auteur: Md. Atiqur Rahman Ahad
Titre: SpringerBriefs in Computer Science; Motion History Images for Action Recognition and Understanding
Editeur: Springer; Springer London
116 Pages
Date de parution: 2012-12-28
London; GB
Langue: Anglais
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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