Computer Vision in Control Systems-2: Innovations in Practice

Computer Vision in Control Systems-2: Innovations in Practice

Paperback(Softcover reprint of the original 1st ed. 2015)

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Overview

Computer Vision in Control Systems-2: Innovations in Practice by Margarita N. Favorskaya

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.

Product Details

ISBN-13: 9783319365275
Publisher: Springer International Publishing
Publication date: 08/23/2016
Series: Intelligent Systems Reference Library , #75
Edition description: Softcover reprint of the original 1st ed. 2015
Pages: 295
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

Computer Vision in Advanced Control Systems: Innovations in Practice.- Human Action Recognition: Contour-Based and Silhouette-based Approaches.- The Application of Machine Learning Techniques to Real Time Audience Analysis Sy.- 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.- 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.

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