| Autor: | Ben Galvin, Brendan McCane, Kevin Novins |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Ground truth
Motion analysis BitTorrent tracker Computer science business.industry Pattern recognition Synthetic data Motion (physics) Artificial Intelligence Feature (computer vision) Pattern recognition (psychology) Computer vision Computer Vision and Pattern Recognition Relaxation (approximation) Artificial intelligence business Software |
| Zdroj: | International Journal of Computer Vision. 49:79-89 |
| ISSN: | 0920-5691 |
| DOI: | 10.1023/a:1019833915960 |
| Popis: | We present a framework for merging the results of independent feature-based motion trackers using a classification based approach. We demonstrate the efficacy of the framework using corner trackers as an example. The major problem with such systems is generating ground truth data for training. We show how synthetic data can be used effectively to overcome this problem. Our combined system performs better in both dropouts and errors than a correspondence tracker, and had less than half the dropouts at the cost of moderate increase in error compared to a relaxation tracker. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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