A survey on multi person identification and localization

Authors:
Shahina Ferdous;Kapil Vyas;Fillia Makedon
Affiliations:
The University of Texas at Arlington;The University of Texas at Arlington;The University of Texas at Arlington
Venue:
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
Year:
2012

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Abstract

In this paper, we present a survey of technology and algorithms used to identify and localize multiple people simultaneously in an assistive environment. The survey summarizes localization approaches based on video cameras and RFID, as well as describes identification methods based on RFID tags or wearable devices. The paper also describes state-of-the-art multimodal data fusion methods that estimate the identification and location of every person more precisely.