Cargando…
TensorMoG: A Tensor-Driven Gaussian Mixture Model with Dynamic Scene Adaptation for Background Modelling
Decades of ongoing research have shown that background modelling is a very powerful technique, which is used in intelligent surveillance systems, in order to extract features of interest, known as foregrounds. In order to work with the dynamic nature of different scenes, many techniques of backgroun...
Autores principales: | Ha, Synh Viet-Uyen, Chung, Nhat Minh, Phan, Hung Ngoc, Nguyen, Cuong Tien |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729891/ https://www.ncbi.nlm.nih.gov/pubmed/33291320 http://dx.doi.org/10.3390/s20236973 |
Ejemplares similares
-
Tensor spaces and numerical tensor calculus
por: Hackbusch, Wolfgang
Publicado: (2019) -
Tensor Spaces and Numerical Tensor Calculus
por: Hackbusch, Wolfgang
Publicado: (2012) -
Tensor analysis and nonlinear tensor functions
por: Dimitrienko, Yu I
Publicado: (2002) -
An Improved Mixture-of-Gaussians Background Model with Frame Difference and Blob Tracking in Video Stream
por: Yao, Li, et al.
Publicado: (2014) -
Overview of Tensor-Based Cooperative MIMO Communication Systems—Part 1: Tensor Modeling
por: Favier, Gérard, et al.
Publicado: (2023)