Computer Vision in Control Systems-2
Margarita N. Favorskaya, Lakhmi C. Jain "Computer Vision in Control Systems-2"
Publisher: Springer | English | 2015 | ISBN:3319114298 | 295 pages | PDF | 11.5 MB
Publisher: Springer | English | 2015 | ISBN:3319114298 | 295 pages | PDF | 11.5 MB
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.