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Future-Frame Prediction for Fast-Moving Objects with Motion Blur
We propose a deep neural network model that recognizes the position and velocity of a fast-moving object in a video sequence and predicts the object’s future motion. When filming a fast-moving subject using a regular camera rather than a super-high-speed camera, there is often severe motion blur, ma...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7472172/ https://ncbi.nlm.nih.gov/pubmed/32781700 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20164394 |
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