Image-based localization in the wireless sensor network

Seung Min Baek, DaeEun Kim

Research output: Contribution to journalConference article

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 Jan 1
Event3rd IFAC Symposium on Telematics Applications, TA 2013 - Seoul, Korea, Republic of
Duration: 2013 Nov 112013 Nov 13

Fingerprint

Wireless sensor networks
Computer vision
Sensor networks
Transmitters
Navigation

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

@article{9174e1b1b809481e94b41e2daf7a072a,
title = "Image-based localization in the wireless sensor network",
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.",
author = "Baek, {Seung Min} and DaeEun Kim",
year = "2013",
month = "1",
day = "1",
doi = "10.3182/20131111-3-KR-2043.00021",
language = "English",
volume = "3",
pages = "19--20",
journal = "IFAC-PapersOnLine",
issn = "2405-8963",
publisher = "IFAC Secretariat",
number = "PART 1",

}

Image-based localization in the wireless sensor network. / Baek, Seung Min; Kim, DaeEun.

In: IFAC Proceedings Volumes (IFAC-PapersOnline), Vol. 3, No. PART 1, 01.01.2013, p. 19-20.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Image-based localization in the wireless sensor network

AU - Baek, Seung Min

AU - Kim, DaeEun

PY - 2013/1/1

Y1 - 2013/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84896339115&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84896339115&partnerID=8YFLogxK

U2 - 10.3182/20131111-3-KR-2043.00021

DO - 10.3182/20131111-3-KR-2043.00021

M3 - Conference article

VL - 3

SP - 19

EP - 20

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8963

IS - PART 1

ER -