Computer Vision in Control Systems-2 (eBook, PDF)

Innovations in Practice
Redaktion: Favorskaya, Margarita N.; Jain, Lakhmi C.

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 295
• Erscheinungstermin: 30. Oktober 2014
• Englisch
• ISBN-13: 9783319114309
• Artikelnr.: 43797065

Inhaltsangabe

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.