Details

Computer Vision in Control Systems-2


Computer Vision in Control Systems-2

Innovations in Practice
Intelligent Systems Reference Library, Band 75

von: Margarita N. Favorskaya, Lakhmi C. Jain

96,29 €

Verlag: Springer
Format: PDF
Veröffentl.: 30.10.2014
ISBN/EAN: 9783319114309
Sprache: englisch

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<p>The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include:</p><p></p><p>·          Human Action Recognition: Contour-Based and Silhouette-based Approaches. </p><p>·         The Application of Machine Learning Techniques to Real Time Audience Analysis System. </p><p>·         Panorama Construction from Multi-view Cameras in Outdoor Scenes. </p><p>·         A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control. </p><p>·         Perception of Audio Visual Information for Mobile Robot Motion Control Systems. </p><p>·         Adaptive Surveillance Algorithms Based on the Situation Analysis.</p><p>·         Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation.</p><p>·         Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual DataProcessing. </p><p>·         Efficient Denoising Algorithms for Intelligent Recognition Systems. </p><p>·         Image Segmentation Based on Two-dimensional Markov Chains.</p><p></p><p>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.</p>
<p><p>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.</p>
<p>The research book is focused on the recent advances in computer vision methodologies and innovations in practice. The Contributions include:</p><p></p><p>·          Human Action Recognition: Contour-Based and Silhouette-based Approaches. </p><p>·         The Application of Machine Learning Techniques to Real Time Audience Analysis System. </p><p>·         Panorama Construction from Multi-view Cameras in Outdoor Scenes. </p><p>·         A New Real-Time Method of Contextual Image Description and Its Application in Robot Navigation and Intelligent Control. </p><p>·         Perception of Audio Visual Information for Mobile Robot Motion Control Systems. </p><p>·         Adaptive Surveillance Algorithms Based on the Situation Analysis.</p><p>·         Enhanced, Synthetic and Combined Vision Technologies for Civil Aviation.</p><p>·         Navigation of Autonomous Underwater Vehicles Using Acoustic and Visual DataProcessing. </p><p>·         Efficient Denoising Algorithms for Intelligent Recognition Systems. </p><p>·         Image Segmentation Based on Two-dimensional Markov Chains.</p><p>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.</p>
Focuses on computer vision methodologies and technical solutions applied to advanced control systems using conventional and intelligent paradigms Presents applications and practical innovations of applied computer vision and vision-based control systems Written by experts in the field Includes supplementary material: sn.pub/extras

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