End-to-End Background Subtraction via a Multi-Scale Spatio-Temporal Model

End-to-End Background Subtraction via a Multi-Scale Spatio-Temporal Model

Background subtraction is an important task in computer vision. Traditional approaches usually utilize low-level visual features like color, texture, or edge to build background models. Due to the lack of deep features, they often achieve poor performance when facing complex video scenes such as ill...

Full description

Bibliographic Details
Main Authors: Yizhong Yang, Tao Zhang, Jinzhao Hu, Dong Xu, Guangjun Xie
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Background subtraction
ConvLSTM
convolutional neural network
computer vision
Online Access:https://ieeexplore.ieee.org/document/8768285/

Internet

https://ieeexplore.ieee.org/document/8768285/

Similar Items