Cargando…
Foreground Detection Based on Superpixel and Semantic Segmentation
Foreground detection is an essential step in computer vision and video processing. Accurate foreground object extraction is crucial for subsequent high-level tasks such as target recognition and tracking. Although many foreground detection algorithms have been proposed, foreground detection in compl...
Autores principales: | Feng, Junying, Liu, Peng, Kim, Yong Kwan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9452948/ https://www.ncbi.nlm.nih.gov/pubmed/36093472 http://dx.doi.org/10.1155/2022/4331351 |
Ejemplares similares
-
Fusion Attention Mechanism for Foreground Detection Based on Multiscale U-Net Architecture
por: Liu, Peng, et al.
Publicado: (2022) -
An Efficient Hybrid Linear Clustering Superpixel Decomposition Framework for Traffic Scene Semantic Segmentation
por: Zhong, Dan, et al.
Publicado: (2023) -
Automatic glioma segmentation based on adaptive superpixel
por: Wu, Yaping, et al.
Publicado: (2019) -
Superpixel Segmentation Based on Anisotropic Edge Strength
por: Wang, Gang, et al.
Publicado: (2019) -
Superpixel Segmentation Based on Grid Point Density Peak Clustering
por: Chen, Xianyi, et al.
Publicado: (2021)