Introduction : video processing, granular computing, rough sets, deep learning and Iot -- Partial supervised tracking -- Unsupervised tracking -- Unsupervised occlusion handling -- Trustability measures of tracking algorithms -- Object recognition and deep learning -- Video conceptualization.
"This volume links the concept of granular computing using deep learning and the Internet of Things to object tracking for video analysis. It describes how uncertainties, involved in the task of video processing, could be handled in rough set theoretic granular computing frameworks. Issues such as object tracking from videos in constrained situations, occlusion/overlapping handling, measuring of the reliability of tracking methods, object recognition and linguistic interpretation in video scenes, and event prediction from videos, are the addressed in this volume. The book also looks at ways to reduce data dependency in the context of unsupervised (without manual interaction/ labeled data/ prior information) training. This book may be used both as a textbook and reference book for graduate students and researchers in computer science, electrical engineering, system science, data science, and information technology, and is recommended for both students and practitioners working in computer vision, machine learning, video analytics, image analytics, artificial intelligence, system design, rough set theory, granular computing, and soft computing"--Publisher's website
Granular video computing : with rough sets, deep learning and in IoT
2021
1 Online-Ressource (xxxi, 223 Seiten)
Campusweiter Zugriff (Universität Hannover) - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots
Includes bibliographical references and index
Buch
Elektronische Ressource
Englisch
DDC: | 006.7 |
Neural Learning and Computing with Multiple Weight Sets
British Library Online Contents | 1992
|Rough sets, their extensions and applications
British Library Online Contents | 2007
|Rough Sets Based Medical Image Segmentation with Connectedness
British Library Conference Proceedings | 2004
|