Review on Systems Combining Computational Vision and Radio Frequency Identification

A systematic survey of the state-of-the-art on the systems merging Radio Frequency Identification (RFID) and Computer Vision (CV) is reported in the present paper. This review is structured on the basis of the main application contexts in which these systems have been proposed: (i) inventory, (ii) Augmented Reality (AR), (iii) perception of human activity and Human Computer Interaction (HCI), (iv) robotics, (v) tracking of generic tagged targets, (vi) assistance to elderly adults or people with disabilities, (vii) Electronic Article Surveillance (EAS), (viii) medical and veterinary research. The presented survey aims to summarize the algorithmic features of the existing approaches, and highlight the solved challenges and the limits of the available solutions.