Computer Vision in Control Systems-2

Innovations in Practice

Nonfiction, Science & Nature, Technology, Automation, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Computer Vision in Control Systems-2 by , Springer International Publishing
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Author: ISBN: 9783319114309
Publisher: Springer International Publishing Publication: October 30, 2014
Imprint: Springer Language: English
Author:
ISBN: 9783319114309
Publisher: Springer International Publishing
Publication: October 30, 2014
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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