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Real-Time Object Tracking with Template Tracking and Foreground Detection Network
In this paper, we propose a fast and accurate deep network-based object tracking method, which combines feature representation, template tracking and foreground detection into a single framework for robust tracking. The proposed framework consists of a backbone network, which feeds into two parallel...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6767121/ https://ncbi.nlm.nih.gov/pubmed/31547389 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19183945 |
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