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.