User location fingerprinting at scale

Puneet Jain, Justin Manweiler, Romit Roy Choudhury

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The goal of this project is to uniquely fingerprint an environment in the visual domain. The fingerprinting should be such that if a user takes a video swipe of the environment with the phone camera, her precise location can be immediately inferred. The problem is challenging because the user is continuously scanning the environment and the opportunity of capturing unique parts is fleeting. A typical environment may consist of repeating visual patterns such as ceiling, floor, wall texture, etc. and a painting hanging on the wall may be the only unique identifier of the location. Our approach to solve this problem is motivated by the ability of human brain in differentiating two similar looking environments by observing subtle differences in them. Our contribution in this work is two fold: (1) summarize global uniqueness of a location in few bits of information to quickly determine whether the current phone camera view contains a unique part, (2) scale this notion of uniqueness to buildings of arbitrary sizes yet delivering near real-time performance. Once fully developed, we believe our approach can apply to accelerate mobile augmented reality and correct indoor localization errors.

Original languageEnglish (US)
Title of host publicationMobiCom 2015 - Proceedings of the 21st Annual International Conference on Mobile Computing and Networking
PublisherAssociation for Computing Machinery
Pages260-262
Number of pages3
ISBN (Electronic)9781450336192
DOIs
StatePublished - Sep 7 2015
Event21st Annual International Conference on Mobile Computing and Networking, MobiCom 2015 - Paris, France
Duration: Sep 7 2015Sep 11 2015

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
Volume2015-September

Other

Other21st Annual International Conference on Mobile Computing and Networking, MobiCom 2015
CountryFrance
CityParis
Period9/7/159/11/15

Keywords

  • Cloud offloading
  • Continuous vision
  • Localization

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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  • Cite this

    Jain, P., Manweiler, J., & Roy Choudhury, R. (2015). User location fingerprinting at scale. In MobiCom 2015 - Proceedings of the 21st Annual International Conference on Mobile Computing and Networking (pp. 260-262). (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM; Vol. 2015-September). Association for Computing Machinery. https://doi.org/10.1145/2789168.2795175