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Statistical Machine Learning for Human Behaviour Analysis

By Thomas Moeslund

Statistical Machine Learning for Human Behaviour Analysis Media & Communication

Statistical Machine Learning for Human Behaviour Analysis

By Thomas Moeslund

0 - Default Title
Description
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.
Product details
Number of Pages:
300
Release Date:
2020-06-17
Publication Date:
2020-06-17
Publisher:
MDPI AG
Languages:
Original: English
ISBN10:
3039362283
ISBN13:
9783039362288
GPSR Manufacturer Reference:
[email protected]
Weight:
950 g
Height:
175 cm
Width:
250 cm
Thickness:
24 cm
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