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 language | English |
|---|---|
| Pages (from-to) | 19-20 |
| Number of pages | 2 |
| Journal | IFAC Proceedings Volumes (IFAC-PapersOnline) |
| Volume | 3 |
| Issue number | PART 1 |
| DOIs | |
| Publication status | Published - 2013 Jan 1 |
| Event | 3rd IFAC Symposium on Telematics Applications, TA 2013 - Seoul, Korea, Republic of Duration: 2013 Nov 11 → 2013 Nov 13 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
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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 journal › Conference 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 -