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

Computer Vision in Control Systems-2: Innovations in Practice

byMargarita N. FavorskayaEditorLakhmi C. Jain

Hardcover | November 11, 2014

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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.

Title:Computer Vision in Control Systems-2: Innovations in PracticeFormat:HardcoverDimensions:295 pagesPublished:November 11, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319114298

ISBN - 13:9783319114293

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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.