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Tracking Multiple Video Targets with an Improved GM-PHD Tracker
Tracking multiple moving targets from a video plays an important role in many vision-based robotic applications. In this paper, we propose an improved Gaussian mixture probability hypothesis density (GM-PHD) tracker with weight penalization to effectively and accurately track multiple moving targets...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4721715/ https://ncbi.nlm.nih.gov/pubmed/26633422 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s151229794 |
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