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SAFS: Object Tracking Algorithm Based on Self-Adaptive Feature Selection
Object tracking is one of the most challenging problems in the field of computer vision. In challenging object tracking scenarios such as illumination variation, occlusion, motion blur and fast motion, existing algorithms can present decreased performances. To make better use of the various features...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230626/ https://www.ncbi.nlm.nih.gov/pubmed/34208036 http://dx.doi.org/10.3390/s21124030 |