Computer Vision in Control Systems-4
Real Life Applications
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Beschreibung
The research book is a continuation of the authors’ previous works, which are focused on recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms.
The book gathers selected contributions addressing a number of real-life applications including the identification of handwritten texts, watermarking techniques, simultaneous localization and mapping for mobile robots, motion control systems for mobile robots, analysis of indoor human activity, facial image quality assessment, android device controlling, processing medical images, clinical decision-making and foot progression angle detection.
Given the tremendous interest among researchers in the development and applications of computer vision paradigms in the field of business, engineering, medicine, security and aviation, the book offers a timely guide for all PhD students, professors, researchers and software developers working in the areas of digital video
processing and computer vision technologies.Addresses computer vision methodologies and technical solutions applied to advanced control systems using conventional and intelligent paradigms Presents applications of and practical innovations in applied computer vision and vision-based control systems Consistently focused on real-life applications throughout
Addresses computer vision methodologies and technical solutions applied to advanced control systems using conventional and intelligent paradigms Presents applications of and practical innovations in applied computer vision and vision-based control systems Consistently focused on real-life applications throughout Includes supplementary material: sn.pub/extras
Autor*in
Margarita N. Favorskaya
Themen in »Computer Vision in Control Systems-4«
Computer Vision Intelligent Control Systems Mobile Robots Surveillance Morphological Processing Video Stabilization Motion Estimation Data Fusion Visual Analysis Object Recognition Event Recognition Stereo Vision Face Recognition Gesture Recognition Interactive Media