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Modelling Human Motion

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Cover of 'Modelling Human Motion'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling Human Motion: A Task at the Crossroads of Neuroscience, Computer Vision and Robotics
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    Chapter 2 The Neurophysiology of Action Perception
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    Chapter 3 Beyond Automatic Motor Mapping: New Insights into Top-Down Modulations on Action Perception
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    Chapter 4 The Visual Perception of Biological Motion in Adults
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    Chapter 5 The Development of Action Perception
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    Chapter 6 The Importance of the Affective Component of Movement in Action Understanding
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    Chapter 7 Optical Flow Estimation in the Deep Learning Age
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    Chapter 8 Spatio-Temporal Action Instance Segmentation and Localisation
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    Chapter 9 Vision During Action: Extracting Contact and Motion from Manipulation Videos—Toward Parsing Human Activity
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    Chapter 10 Human Action Recognition and Assessment Via Deep Neural Network Self-Organization
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    Chapter 11 Movement Expressivity Analysis: From Theory to Computation
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    Chapter 12 The Practice of Animation in Robotics
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    Chapter 13 Adapting Movements and Behaviour to Favour Communication in Human-Robot Interaction
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    Chapter 14 Expressivity Comes First, Movement Follows: Embodied Interaction as Intrinsically Expressive Driver of Robot Behaviour
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    Chapter 15 Gestures in Educational Behavior Coordination. Grounding an Enactive Robot-Assisted Approach to Didactics
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    Chapter 16 Priming and Timing in Human-Robot Interactions
Attention for Chapter 8: Spatio-Temporal Action Instance Segmentation and Localisation
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Citations

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Chapter title
Spatio-Temporal Action Instance Segmentation and Localisation
Chapter number 8
Book title
Modelling Human Motion
Published by
Springer, Cham, July 2020
DOI 10.1007/978-3-030-46732-6_8
Book ISBNs
978-3-03-046731-9, 978-3-03-046732-6
Authors

Suman Saha, Gurkirt Singh, Michael Sapienza, Philip H. S. Torr, Fabio Cuzzolin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Researcher 1 33%
Unknown 1 33%
Readers by discipline Count As %
Engineering 2 67%
Unknown 1 33%