Name
Abstract | ||
|---|---|---|
This paper discusses networked sensors that are randomly distributed to monitor and detect a target object moving on a trajectory. On the basis of analysis results, we propose a method for estimating the shape and size of a target object by using sensors whose locations are unknown. It is surprising that sensors that individually are incapable of monitoring the target object's shape can be used to estimate it without sensor location information. An example shows that a combination of sensors with different sensing areas can increase the shape estimation performance. This estimation method can work for any trajectory and with sensor areas of arbitrary shape and size. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICSMC.2008.4811741 | Singapore |
Keywords | Field | DocType |
object detection,wireless sensor networks,deployed networked sensors,different sensing areas,random distribution,shape estimation,size estimation,target object detection,target object monitoring,Shape estimation,coverage process,sensor network | Computer vision,Object detection,Computer science,Artificial intelligence,Wireless sensor network,Probability density function,Trajectory | Conference |
ISSN | ISBN | Citations |
1062-922X E-ISBN : 978-1-4244-2384-2 | 978-1-4244-2384-2 | 4 |
PageRank | References | Authors |
0.54 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroshi Saito | 1 | 164 | 16.39 |
| Shigeo Shioda | 2 | 165 | 26.69 |
| Junko Harada | 3 | 4 | 0.54 |