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 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.