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Human Activity Recognition and Prediction

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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.
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Availability

No copy data

Detail Information

Series Title

-

Call Number

004 HUM

Publisher

: ., 2015

Collation

VII, 174

Language

English

ISBN/ISSN

978-3-319-27002-9

Classification

004

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

" Signal, Speech and Image Processing"

Specific Detail Info

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Statement of Responsibility

Yun Fu, editor

Other Information

Cataloger

Khusnun

Source

-

Validator

-

Other version/related

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