Statistical Machine Learning for Human Behaviour Analysis

✍ Scribed by Thomas Moeslund, Sergio Escalera

Publisher: MDPI AG
Year: 2020
Tongue: English
Leaves: 302
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Blank Page

📜 SIMILAR VOLUMES

Machine Learning and Python for Human Be

📁 Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis

✍ Md Zia Uddin 📂 Library 📅 2024 🏛 CRC Press 🌐 English

This book is a practical guide for individuals interested in exploring and implementing smart home applications using Python. Comprising six chapters enriched with hands-on codes, it seamlessly navigates from foundational concepts to cutting-edge technologies, balancing theoretical insights

Machine Learning and Python for Human Be

📁 Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis

✍ Md Zia Uddin 📂 Library 📅 2024 🏛 CRC Press 🌐 English

Statistical and Machine Learning Approac

📁 Statistical and Machine Learning Approaches for Network Analysis

✍ Matthias Dehmer (ed.), Subhash C. Basak (ed.) 📂 Library 📅 2012 🏛 Wiley 🌐 English

Explore the multidisciplinary nature of complex networks through machine learning techniquesStatistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on g

Statistical and Machine Learning Approac

📁 Statistical and Machine Learning Approaches for Network Analysis

✍ Matthias Dehmer, Subhash C. Basak 📂 Library 📅 2012 🏛 Wiley 🌐 English

Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for classification. By providing different approaches based on experimental data, th

Statistics for Machine Learning

📁 Statistics for Machine Learning

✍ Pratap Dangeti 📂 Library 📅 0 🌐 English

Machine Learning Methods for Behaviour A

📁 Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video

✍ Olga Isupova (auth.) 📂 Library 📅 2018 🏛 Springer International Publishing 🌐 English

This thesis proposes machine learning methods for understanding scenes via behaviour analysis and online anomaly detection in video. The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detecti