Computer Vision in Control Systems-2

Intelligent Systems Reference Library

Book 75
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The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include:

· Human Action Recognition: Contour-Based and Silhouette-based Approaches.

· The Application of Machine Learning Techniques to Real Time Audience Analysis System.

· Panorama Construction from Multi-view Cameras in Outdoor Scenes.

· A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control.

· Perception of Audio Visual Information for Mobile Robot Motion Control Systems.

· Adaptive Surveillance Algorithms Based on the Situation Analysis.

· Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation.

· Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual Data Processing.

· Efficient Denoising Algorithms for Intelligent Recognition Systems.

· Image Segmentation Based on Two-dimensional Markov Chains.

The book is directed to the PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.

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Additional Information

Publisher
Springer
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Published on
Oct 30, 2014
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Pages
295
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ISBN
9783319114309
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Language
English
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Genres
Computers / Intelligence (AI) & Semantics
Technology & Engineering / Automation
Technology & Engineering / General
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Content Protection
This content is DRM protected.
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This book is devoted to the Metacognition arena. It highlights works that show relevant analysis, reviews, theoretical, and methodological proposals, as well as studies, approaches, applications, and tools that shape current state, define trends and inspire future research. As a result of the revision process fourteen manuscripts were accepted and organized into five parts as follows:

· Conceptual: contains conceptual works oriented to: (1) review models of strategy instruction and tailor a hybrid strategy; (2) unveil second-order judgments and define a method to assess metacognitive judgments; (3) introduces a conceptual model to describe the metacognitive activity as an autopoietic system.

· Framework: offers three works concerned with: (4) stimulate metacognitive skills and self-regulatory functions; (5) evaluate metacognitive skills and self-regulated learning at problem solving; (6) deal with executive management metacognition and strategic knowledge metacognition.

· Studies: reports research related to: (7) uncover how metacognitive awareness of listening strategies bias listening proficiency; (8) unveil how metacognitive skills and motivation are achieved in science informal learning; (9) tackle stress at learning by means of coping strategies.

· Approaches: focus on the following targets: (10) social metacognition to support collaborative problem solving; (11) metacognitive skills to be stimulated in computer supported collaborative learning; (12) metacognitive knowledge and metacognitive experiences are essential for teaching practices.

· Tools: promotes the use of intelligent tutoring systems such as: (13) BioWorld allows learners to practice medical diagnostic by providing virtual patient cases; (14) MetaHistoReasoning provides examples to learners and inquiries about the causes of historical events.

This volume will be a source of interest for researchers, practitioners, professors, and postgraduate students aimed at updating their knowledge and finding targets for future work in the metacognition arena.

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