LPCF: Robust Correlation Tracking via Locality Preserving Tracking Validation

In visual tracking, the tracking model must be updated online, which often leads to undesired inclusion of corrupted training samples, and hence inducing tracking failure. We present a locality preserving correlation filter (LPCF) integrating a novel and generic decontamination approach, which mitig...

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Detalles Bibliográficos
Autores principales: Zhou, Yixuan, Zhang, Weimin, Shi, Yongliang, Wang, Ziyu, Li, Fangxing, Huang, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731162/
https://www.ncbi.nlm.nih.gov/pubmed/33266108
http://dx.doi.org/10.3390/s20236853

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731162/
https://www.ncbi.nlm.nih.gov/pubmed/33266108
http://dx.doi.org/10.3390/s20236853

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