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.