Details
| Original language | English |
|---|---|
| Title of host publication | MASS 2012 |
| Subtitle of host publication | 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems |
| Publisher | IEEE Computer Society |
| ISBN (print) | 9781467324335 |
| Publication status | Published - 2012 |
| Event | 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2012 - Las Vegas, NV, United States Duration: 8 Oct 2012 → 11 Oct 2012 |
Publication series
| Name | MASS 2012 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems |
|---|---|
| Volume | 2012-January |
Abstract
We investigate the capability of ad-hoc sensor networks equipped with simple sensor devices to enable a more accurate spatial event localization in order to support smart camera networks. We present a novel algorithm named Orthogonal Cut which is suitable for many different event detection scenarios, especially when large interferences occur. It estimates the spatial position of a detected event by dividing the surveillance space of a sensor network into smaller areas until a threshold criteria is met.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
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MASS 2012: 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems. IEEE Computer Society, 2012. (MASS 2012 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems; Vol. 2012-January).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Orthogonal cut algorithm for value-based event localization in sensor networks
AU - Fu, Desheng
AU - Becker, Matthias
AU - Schaust, Sven
AU - Szczerbicka, Helena
PY - 2012
Y1 - 2012
N2 - We investigate the capability of ad-hoc sensor networks equipped with simple sensor devices to enable a more accurate spatial event localization in order to support smart camera networks. We present a novel algorithm named Orthogonal Cut which is suitable for many different event detection scenarios, especially when large interferences occur. It estimates the spatial position of a detected event by dividing the surveillance space of a sensor network into smaller areas until a threshold criteria is met.
AB - We investigate the capability of ad-hoc sensor networks equipped with simple sensor devices to enable a more accurate spatial event localization in order to support smart camera networks. We present a novel algorithm named Orthogonal Cut which is suitable for many different event detection scenarios, especially when large interferences occur. It estimates the spatial position of a detected event by dividing the surveillance space of a sensor network into smaller areas until a threshold criteria is met.
UR - http://www.scopus.com/inward/record.url?scp=84952921925&partnerID=8YFLogxK
U2 - 10.1109/MASS.2012.6708515
DO - 10.1109/MASS.2012.6708515
M3 - Conference contribution
AN - SCOPUS:84952921925
SN - 9781467324335
T3 - MASS 2012 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems
BT - MASS 2012
PB - IEEE Computer Society
T2 - 9th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2012
Y2 - 8 October 2012 through 11 October 2012
ER -