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Book
Human action analysis with randomized trees
Authors: --- ---
ISBN: 9789812871671 9812871667 9789812871664 1322175802 9812871675 Year: 2015 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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Abstract

This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction. We will also describe techniques for space-time action localization including branch-and-bound sub-volume search and propagative Hough voting.

Keywords

Engineering. --- Signal, Image and Speech Processing. --- Image Processing and Computer Vision. --- Probability Theory and Stochastic Processes. --- Computer vision. --- Distribution (Probability theory). --- Ingénierie --- Vision par ordinateur --- Distribution (Théorie des probabilités) --- Discriminant analysis. --- Human behavior -- Research. --- Regression analysis. --- Trees (Graph theory). --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Telecommunications --- Electrical Engineering --- Applied Physics --- Trees (Graph theory) --- Human behavior --- Research. --- Action, Human --- Behavior, Human --- Ethology --- Human action --- Human beings --- Behavior --- Image processing. --- Probabilities. --- Human biology --- Physical anthropology --- Psychology --- Social sciences --- Psychology, Comparative --- Graph theory --- Distribution (Probability theory. --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Signal processing. --- Speech processing systems. --- Optical data processing. --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Optical equipment


Book
Visual Pattern Discovery and Recognition
Authors: --- ---
ISBN: 9811048401 9811048398 Year: 2017 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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Abstract

This book presents a systematic study of visual pattern discovery, from unsupervised to semi-supervised manner approaches, and from dealing with a single feature to multiple types of features. Furthermore, it discusses the potential applications of discovering visual patterns for visual data analytics, including visual search, object and scene recognition. It is intended as a reference book for advanced undergraduates or postgraduate students who are interested in visual data analytics, enabling them to quickly access the research world and acquire a systematic methodology rather than a few isolated techniques to analyze visual data with large variations. It is also inspiring for researchers working in computer vision and pattern recognition fields. Basic knowledge of linear algebra, computer vision and pattern recognition would be helpful to readers.


Digital
Visual Pattern Discovery and Recognition
Authors: --- ---
ISBN: 9789811048401 Year: 2017 Publisher: Singapore Springer Singapore, Imprint: Springer

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Abstract

This book presents a systematic study of visual pattern discovery, from unsupervised to semi-supervised manner approaches, and from dealing with a single feature to multiple types of features. Furthermore, it discusses the potential applications of discovering visual patterns for visual data analytics, including visual search, object and scene recognition. It is intended as a reference book for advanced undergraduates or postgraduate students who are interested in visual data analytics, enabling them to quickly access the research world and acquire a systematic methodology rather than a few isolated techniques to analyze visual data with large variations. It is also inspiring for researchers working in computer vision and pattern recognition fields. Basic knowledge of linear algebra, computer vision and pattern recognition would be helpful to readers.


Digital
Human Action Analysis with Randomized Trees
Authors: --- ---
ISBN: 9789812871671 9789812871688 9789812871664 Year: 2015 Publisher: Singapore Springer Singapore, Imprint: Springer

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Abstract

This book will provide a comprehensive overview on human action analysis with randomized trees. It will cover both the supervised random trees and the unsupervised random trees. When there are sufficient amount of labeled data available, supervised random trees provides a fast method for space-time interest point matching. When labeled data is minimal as in the case of example-based action search, unsupervised random trees is used to leverage the unlabelled data. We describe how the randomized trees can be used for action classification, action detection, action search, and action prediction. We will also describe techniques for space-time action localization including branch-and-bound sub-volume search and propagative Hough voting.


Book
Context Aware Human-Robot and Human-Agent Interaction
Authors: --- --- ---
ISBN: 3319199463 3319199471 9783319199467 Year: 2016 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This is the first book to describe how Autonomous Virtual Humans and Social Robots can interact with real people, be aware of the environment around them, and react to various situations. Researchers from around the world present the main techniques for tracking and analysing humans and their behaviour and contemplate the potential for these virtual humans and robots to replace or stand in for their human counterparts, tackling areas such as awareness and reactions to real world stimuli and using the same modalities as humans do: verbal and body gestures, facial expressions and gaze to aid seamless human-computer interaction (HCI). The research presented in this volume is split into three sections: ·User Understanding through Multisensory Perception: deals with the analysis and recognition of a given situation or stimuli, addressing issues of facial recognition, body gestures and sound localization. ·Facial and Body Modelling Animation: presents the methods used in modelling and animating faces and bodies to generate realistic motion. ·Modelling Human Behaviours: presents the behavioural aspects of virtual humans and social robots when interacting and reacting to real humans and each other. Context Aware Human-Robot and Human-Agent Interaction would be of great use to students, academics and industry specialists in areas like Robotics, HCI, and Computer Graphics.


Book
Pattern Recognition : ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings
Authors: --- --- ---
ISBN: 9811536511 9811536503 Year: 2020 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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This volume constitutes the refereed proceedings, presented during the ACPR 2019 Workshops, held in Auckland, New Zealand, in November 2019. The 17 full papers and 6 short papers were carefully reviewed and selected out of numerous submissions. The papers are organized according to the topics of the workshops: computer vision for modern vehicles; advances and applications on generative deep learning models; image and pattern analysis for multidisciplinary computational anatomy; multi-sensor for action and gesture recognition; towards the automatic data processing chain for airborne and spaceborne sensors. .


Digital
Context Aware Human-Robot and Human-Agent Interaction
Authors: --- --- ---
ISBN: 9783319199474 Year: 2016 Publisher: Cham Springer International Publishing

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Abstract

This is the first book to describe how Autonomous Virtual Humans and Social Robots can interact with real people, be aware of the environment around them, and react to various situations. Researchers from around the world present the main techniques for tracking and analysing humans and their behaviour and contemplate the potential for these virtual humans and robots to replace or stand in for their human counterparts, tackling areas such as awareness and reactions to real world stimuli and using the same modalities as humans do: verbal and body gestures, facial expressions and gaze to aid seamless human-computer interaction (HCI). The research presented in this volume is split into three sections: ·User Understanding through Multisensory Perception: deals with the analysis and recognition of a given situation or stimuli, addressing issues of facial recognition, body gestures and sound localization. ·Facial and Body Modelling Animation: presents the methods used in modelling and animating faces and bodies to generate realistic motion. ·Modelling Human Behaviours: presents the behavioural aspects of virtual humans and social robots when interacting and reacting to real humans and each other. Context Aware Human-Robot and Human-Agent Interaction would be of great use to students, academics and industry specialists in areas like Robotics, HCI, and Computer Graphics.


Digital
Pattern Recognition : ACPR 2019 Workshops, Auckland, New Zealand, November 26, 2019, Proceedings
Authors: --- --- ---
ISBN: 9789811536519 Year: 2020 Publisher: Singapore Springer Singapore, Imprint: Springer

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Abstract

This volume constitutes the refereed proceedings, presented during the ACPR 2019 Workshops, held in Auckland, New Zealand, in November 2019. The 17 full papers and 6 short papers were carefully reviewed and selected out of numerous submissions. The papers are organized according to the topics of the workshops: computer vision for modern vehicles; advances and applications on generative deep learning models; image and pattern analysis for multidisciplinary computational anatomy; multi-sensor for action and gesture recognition; towards the automatic data processing chain for airborne and spaceborne sensors. .


Book
Pattern Recognition
Authors: --- --- --- ---
ISBN: 9789811536519 Year: 2020 Publisher: Singapore Springer Singapore :Imprint: Springer

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