Computer Vision in Control Systems-2 Innovations in Practice için kapak resmi
Computer Vision in Control Systems-2 Innovations in Practice
Başlık:
Computer Vision in Control Systems-2 Innovations in Practice
Yazar:
Favorskaya, Margarita N. editor.
ISBN:
9783319114309
Fiziksel Niteleme:
XVI, 295 p. 139 illus., 72 illus. in color. online resource.
Seri:
Intelligent Systems Reference Library, 75
İçindekiler:
Computer Vision in Advanced Control Systems: Innovations in Practice -- Human Action Recognition: Contour-Based and Silhouette-based Approaches -- The Application of Machine Learning Techniques to Real Time Audience Analysis Sy -- 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 -- 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.
Özet:
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.