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02458nam a22005295i 4500 |
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978-3-319-57021-1 |
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DE-He213 |
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20170719075317.0 |
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170719s2017 gw | s |||| 0|eng d |
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|a 9783319570211
|9 978-3-319-57021-1
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|a 10.1007/978-3-319-57021-1
|2 doi
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|d GrThAP
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|a Q334-342
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|a TJ210.2-211.495
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|a UYQ
|2 bicssc
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|a COM004000
|2 bisacsh
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|a 006.3
|2 23
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|a Gesture Recognition
|h [electronic resource] /
|c edited by Sergio Escalera, Isabelle Guyon, Vassilis Athitsos.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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|a XII, 578 p. 214 illus., 170 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a The Springer Series on Challenges in Machine Learning,
|x 2520-131X
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|a Preface -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5.
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|a This book presents a selection of chapters, written by leading international researchers, related to the automatic analysis of gestures from still images and multi-modal RGB-Depth image sequences. It offers a comprehensive review of vision-based approaches for supervised gesture recognition methods that have been validated by various challenges. Several aspects of gesture recognition are reviewed, including data acquisition from different sources, feature extraction, learning, and recognition of gestures.
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|a Computer science.
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|a Artificial intelligence.
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|a Image processing.
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|a Pattern recognition.
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|a Computer Science.
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|a Artificial Intelligence (incl. Robotics).
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|a Image Processing and Computer Vision.
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|a Pattern Recognition.
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1 |
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|a Escalera, Sergio.
|e editor.
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1 |
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|a Guyon, Isabelle.
|e editor.
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|a Athitsos, Vassilis.
|e editor.
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2 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9783319570204
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830 |
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|a The Springer Series on Challenges in Machine Learning,
|x 2520-131X
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856 |
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|u http://dx.doi.org/10.1007/978-3-319-57021-1
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-SCS
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950 |
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|a Computer Science (Springer-11645)
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