Computer Vision in Control Systems-2 (Hardcover)

Margarita N. Favorskaya

ISBN 10: 3319114298 / ISBN 13: 9783319114293

Published by Springer International Publishing AG, Cham, 2014

About this Item

Hardcover. 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 DataProcessing. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9783319114293

Bibliographic Details

• Title: Computer Vision in Control Systems-2 (Hardcover)
• Publisher: Springer International Publishing AG, Cham
• Publication Date: 2014
• Language: English
• ISBN 10: 3319114298
• ISBN 13: 9783319114293
• Binding: Hardcover
• Condition: new

About this title

Synopsis

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 DataProcessing.

·         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.