Name
Abstract | ||
|---|---|---|
The concept of a miss-distance, or error, between a reference quantity and its estimated/controlled value, plays a fundamental role in any filtering/control problem. Yet there is no satisfactory notion of a miss-distance in the well-established field of multi-object filtering. In this paper, we outline the inconsistencies of existing metrics in the context of multi-object miss-distances for performance evaluation. We then propose a new mathematically and intuitively consistent metric that addresses the drawbacks of current multi-object performance evaluation metrics. |
Year | Venue | Keywords |
|---|---|---|
2008 | Cologne | filtering theory,miss-distance concept,multiobject filter performance evaluation,reference quantity,Miss-distance,Multi-object filtering,Multi-target tracking,Performance evaluation,Point processes,Random sets,Wasserstein distance |
Field | DocType | ISBN |
Computer vision,Distance measurement,Multi target tracking,Computer science,Point process,Filter (signal processing),Construction industry,Artificial intelligence,Filtering theory,Machine learning | Conference | 978-3-00-024883-2 |
Citations | PageRank | References |
260 | 13.76 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dominic Schuhmacher | 1 | 260 | 13.76 |
| Ba Tuong Vo | 2 | 362 | 20.68 |
| Ba-Ngu Vo | 3 | 457 | 22.45 |