Human Activity Recognition and Prediction

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Éditeur :

Springer


Paru le : 2015-12-23

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Description
This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research fields in computer vision, machine learning, human-centered computing, human-computer interaction, image classification, and pattern recognition. In addition, the book includes several key chapters covering multiple emerging topics in the field. Contributed by top experts and practitioners, the chapters present key topics from different angles and blend both methodology and application, composing a solid overview of the human activity recognition techniques.
Pages
174 pages
Collection
n.c
Parution
2015-12-23
Marque
Springer
EAN papier
9783319270029
EAN PDF
9783319270043

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
5796 Ko
Prix
52,74 €
EAN EPUB
9783319270043

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
3379 Ko
Prix
52,74 €

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