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Object Tracking Using Adaptive Covariance Descriptor and Clustering-Based Model Updating for Visual Surveillance
We propose a novel approach for tracking an arbitrary object in video sequences for visual surveillance. The first contribution of this work is an automatic feature extraction method that is able to extract compact discriminative features from a feature pool before computing the region covariance de...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4118388/ https://www.ncbi.nlm.nih.gov/pubmed/24865883 http://dx.doi.org/10.3390/s140609380 |