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Robust Visual Tracking Based on Adaptive Convolutional Features and Offline Siamese Tracker
Robust and accurate visual tracking is one of the most challenging computer vision problems. Due to the inherent lack of training data, a robust approach for constructing a target appearance model is crucial. The existing spatially regularized discriminative correlation filter (SRDCF) method learns...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068628/ https://www.ncbi.nlm.nih.gov/pubmed/30036993 http://dx.doi.org/10.3390/s18072359 |