Improving track initiation performance by track validation algorithms for multi-target tracking in heavy clutter
| Autor: | Kubra Turgut, Hasan Huseyin Sonmez, Ali Koksal Hocaoglu |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
020301 aerospace & aeronautics
business.industry Computer science Track (disk drive) 020206 networking & telecommunications 02 engineering and technology Tracking (particle physics) Thresholding law.invention 0203 mechanical engineering law Line (geometry) 0202 electrical engineering electronic engineering information engineering Clutter Robot Computer vision Artificial intelligence Radar business Algorithm |
| Zdroj: | SIU |
| DOI: | 10.1109/siu.2017.7960467 |
| Popis: | In this study, for multi-target tracking in an heavy-clutter environment, line detection-based validation algorithms are proposed for improving track initiation performance by reducing false tracks. Track validation algorithm is applied to the results of the base track initiation algorithm periodically and deviation from line evaluated based on a defined measure. Then, by thresholding the deviation value, true and false tracks are discriminated, even for maneuvering targets. Thus, performance of both track initiation and tracker are improved by means of number of false tracks. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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