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.

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.