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...

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Detalles Bibliográficos
Autores principales: Qin, Lei, Snoussi, Hichem, Abdallah, Fahed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4118388/
https://www.ncbi.nlm.nih.gov/pubmed/24865883
http://dx.doi.org/10.3390/s140609380

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