Background Subtraction With Real-Time Semantic Segmentation
Accurate and fast foreground (FG) object extraction is very important for object tracking and recognition in video surveillance. Although many background subtraction (BGS) methods have been proposed in the recent past, it is still regarded as a tough problem due to the variety of challenging situati...
Main Authors: | Dongdong Zeng, Xiang Chen, Ming Zhu, Michael Goesele, Arjan Kuijper |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8645635/ |
Similar Items
-
Robust Background Subtraction with Foreground Validation for Urban Traffic Video
by: Cheung Sen-Ching S, et al.
Published: (2005-01-01) -
Comparative Analysis of GMM, KNN, and ViBe Background Subtraction Algorithms Applied in Dynamic Background Scenes of Video Surveillance System
by: Maryam Yasir, et al.
Published: (2022-04-01) -
Asynchronous Semantic Background Subtraction
by: Anthony Cioppa, et al.
Published: (2020-06-01) -
Background Subtraction Based on Color and Depth Using Active Sensors
by: Eduardo Ros, et al.
Published: (2013-07-01) -
WisenetMD: Motion Detection Using Dynamic Background Region Analysis
by: Sang-ha Lee, et al.
Published: (2019-05-01)