Image-based localization in the wireless sensor network

Seung Min Baek, Dae Eun Kim

Research output: Contribution to journalConference articlepeer-review

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
Pages (from-to)19-20
Number of pages2
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume3
Issue numberPART 1
DOIs
Publication statusPublished - 2013
Event3rd IFAC Symposium on Telematics Applications, TA 2013 - Seoul, Korea, Republic of
Duration: 2013 Nov 112013 Nov 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)

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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