Indoor Localization Using Camera Phones

Authors:
Nishkam Ravi;Pravin Shankar;Andrew Frankel;Ahmed Elgammal;Liviu Iftode
Affiliations:
Rutgers University, USA;Rutgers University, USA;Rutgers University, USA;Rutgers University, USA;Rutgers University, USA
Venue:
WMCSA '06 Proceedings of the Seventh IEEE Workshop on Mobile Computing Systems & Applications: Supplement
Year:
2006

Citing 0
Cited 3

Keygraphs for sign detection in indoor environments by mobile phones

GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
A computational model for the integration of linked data in mobile augmented reality applications

Proceedings of the 8th International Conference on Semantic Systems
A survey on smartphone-based systems for opportunistic user context recognition

ACM Computing Surveys (CSUR)

Quantified Score

Hi-index	0.00

Visualization

Abstract

Indoor localization has long been a goal of pervasive computing research. In this paper, we explore the possibility of determining user's location based on the camera images received from a smart phone. In our system, the smart phone is worn by the user as a pendant and images are periodically captured and transmitted over GPRS to a web server. The web server returns the location of the user by comparing the received images with images stored in a database. We tested our system inside the Computer Science department building. Preliminary results show that user's location can be determined correctly with more than 80% probability of success. As opposed to earlier solutions for indoor localization, this approach does not have any infrastructure requirements. The only cost is that of building an image database.