Cargando…
Robust Visual Ship Tracking with an Ensemble Framework via Multi-View Learning and Wavelet Filter
Maritime surveillance videos provide crucial on-spot kinematic traffic information (traffic volume, ship speeds, headings, etc.) for varied traffic participants (maritime regulation departments, ship crew, ship owners, etc.) which greatly benefits automated maritime situational awareness and maritim...
Autores principales: | Chen, Xinqiang, Chen, Huixing, Wu, Huafeng, Huang, Yanguo, Yang, Yongsheng, Zhang, Wenhui, Xiong, Pengwen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039392/ https://www.ncbi.nlm.nih.gov/pubmed/32050581 http://dx.doi.org/10.3390/s20030932 |
Ejemplares similares
-
Mining ship deficiency correlations from historical port state control (PSC) inspection data
por: Fu, Junjie, et al.
Publicado: (2020) -
Robust online learning based on siamese network for ship tracking
por: Hu, Zhongyi, et al.
Publicado: (2023) -
Wavelets and filter banks
por: Strang, Gilbert, et al.
Publicado: (1996) -
Robust Visual Tracking with Reliable Object Information and Kalman Filter
por: Chen, Hang, et al.
Publicado: (2021) -
Correntropy Based Divided Difference Filtering for the Positioning of Ships
por: Liu, Xi, et al.
Publicado: (2018)