This volume links the concept of Granular computing using Deep Learning and the Internet of Things to object tracking for Video analysis.
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,.
It describes how uncertainties, involved in the task of Video processing, could be handled in Rough set theoretic Granular computing frameworks.
This volume links the concept of Granular computing using Deep Learning and the Internet of Things to object tracking for Video analysis