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Coarse-to-Fine Adaptive People Detection for Video Sequences by Maximizing Mutual Information †
Applying people detectors to unseen data is challenging since patterns distributions, such as viewpoints, motion, poses, backgrounds, occlusions and people sizes, may significantly differ from the ones of the training dataset. In this paper, we propose a coarse-to-fine framework to adapt frame by fr...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339205/ https://www.ncbi.nlm.nih.gov/pubmed/30577455 http://dx.doi.org/10.3390/s19010004 |