Name
Abstract | ||
|---|---|---|
We describe a clustering-based algorithm for tracking a dynamically varying number of targets observed by multiple sensors. The algorithm relies on discrete target detections (e.g., laser "hits") and a simple model of the targets to be tracked (e.g. a human is modeled in 2-D as a circle). The algorithm is evaluated in the context of a 4 versus 4 basketball game (8 targets) using 4 SICK LMS291 laser scanners as input. Our evaluations show that the sensor system correctly reports the number of targets roughly 99% of the time. We also demonstrate use of the tracker with two video datasets of multiple changing numbers of ants and fish, respectively |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ROBOT.2007.363956 | Roma |
Keywords | Field | DocType |
pattern clustering,sensors,target tracking,4 SICK LMS291 laser scanners,clustering-based algorithm,discrete target detections,multiple dynamic target tracker,multiple sensors | Object detection,Computer vision,Pattern clustering,Sensor system,Artificial intelligence,Engineering,Cluster analysis,Multiple sensors,Trajectory | Conference |
Volume | Issue | ISSN |
2007 | 1 | 1050-4729 E-ISBN : 1-4244-0602-1 |
ISBN | Citations | PageRank |
1-4244-0602-1 | 1 | 0.35 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adam Feldman | 1 | 19 | 2.12 |
| Summer Adams | 2 | 1 | 0.35 |
| Maria Hybinette | 3 | 459 | 41.13 |
| Tucker R. Balch | 4 | 3163 | 429.41 |