Автор: Favorskaya, Margarita N., Jain, Lakhmi C.
Издательство: Springer
Год: 2020
Страниц: 329
Язык: английский
Формат: pdf (true)
Размер: 14.3 MB
This book applies novel theories to improve algorithms in complex data analysis in various fields, including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis. It is intended for Ph.D. students, academics, researchers, and software developers working in the areas of digital video processing and computer vision technologies.
Includes recent research directions using intelligent paradigms for morphological vision systems, video sequence stabilization and data fusion in visual analysis
Addresses computer vision methodologies and technical solutions applied to advanced control systems using conventional and intelligent paradigms
Includes a number of case studies pertaining to computer vision in robots, people with disability, land-based vehicle surveillance, and face recognition in the context of security
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