Image-based localization in the wireless sensor network

Seung Min Baek, Dae Eun Kim

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

Abstract

Localization of an agent in the wireless sensor network is an important issue of sensor network system.We suggest a solution of this problem using visual images. The suggested solution is one of local navigation algorithms by comparing images. The method uses a feature matching algorithm in computer vision field. We show that applying the Speed Up Robust Feature(SURF) algorithm provides a solution of the localization problem. With this concept, we can estimate the location of receiver or transmitter of the system in the wireless sensor network.

Original languageEnglish
Title of host publication3rd IFAC Symposium on Telematics Applications, TA 2013 - Proceedings
PublisherIFAC Secretariat
Pages19-20
Number of pages2
EditionPART 1
ISBN (Print)9783902823564
DOIs
Publication statusPublished - 2013
Event3rd IFAC Symposium on Telematics Applications, TA 2013 - Seoul, Korea, Republic of
Duration: 2013 Nov 112013 Nov 13

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume3
ISSN (Print)1474-6670

Other

Other3rd IFAC Symposium on Telematics Applications, TA 2013
Country/TerritoryKorea, Republic of
CitySeoul
Period13/11/1113/11/13

Bibliographical note

Funding Information:
★ This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology(No. 2011-0012157)

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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