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portada Statistical Machine Learning for Human Behaviour Analysis
Type
Physical Book
Publisher
Year
2020
Language
Inglés
Pages
300
Format
Hardcover
Dimensions
24.4 x 17.0 x 2.4 cm
Weight
0.84 kg.
ISBN13
9783039362288

Statistical Machine Learning for Human Behaviour Analysis

Thomas Moeslund (Author) · Sergio Escalera (Author) · Gholamreza Anbarjafari (Other) · Mdpi AG · Hardcover

Statistical Machine Learning for Human Behaviour Analysis - Anbarjafari, Gholamreza ; Moeslund, Thomas ; Escalera, Sergio

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Origin: U.S.A. (Import costs included in the price)
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Synopsis "Statistical Machine Learning for Human Behaviour Analysis"

This Special Issue focused on novel vision-based approaches, mainly related to computer vision and machine learning, for the automatic analysis of human behaviour. We solicited submissions on the following topics: information theory-based pattern classification, biometric recognition, multimodal human analysis, low resolution human activity analysis, face analysis, abnormal behaviour analysis, unsupervised human analysis scenarios, 3D/4D human pose and shape estimation, human analysis in virtual/augmented reality, affective computing, social signal processing, personality computing, activity recognition, human tracking in the wild, and application of information-theoretic concepts for human behaviour analysis. In the end, 15 papers were accepted for this special issue. These papers, that are reviewed in this editorial, analyse human behaviour from the aforementioned perspectives, defining in most of the cases the state of the art in their corresponding field.

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