Human Activity Recognition and Prediction (PDF)
(Sprache: Englisch)
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...
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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.
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.
Bibliographische Angaben
- 2015, 1st ed. 2016, 174 Seiten, Englisch
- Herausgegeben: Yun Fu
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319270044
- ISBN-13: 9783319270043
- Erscheinungsdatum: 23.12.2015
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 5.66 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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