Computer Vision in Control Systems-2

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.