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Sparse Optical Flow Implementation Using a Neural Network for Low-Resolution Thermal Aerial Imaging
This study is inspired by the widely used algorithm for real-time optical flow, the sparse Lucas–Kanade, by applying a feature extractor to decrease the computational requirement of optical flow based neural networks from real-world thermal aerial imagery. Although deep-learning-based algorithms hav...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9605610/ https://www.ncbi.nlm.nih.gov/pubmed/36286373 http://dx.doi.org/10.3390/jimaging8100279 |