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A Robust Real-Time Detecting and Tracking Framework for Multiple Kinds of Unmarked Object
A rodent real-time tracking framework is proposed to automatically detect and track multi-objects in real time and output the coordinates of each object, which combines deep learning (YOLO v3: You Only Look Once, v3), the Kalman Filter, improved Hungarian algorithm, and the nine-point position corre...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6982905/ https://ncbi.nlm.nih.gov/pubmed/31861254 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20010002 |
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