Universal Background Subtraction Based on Arithmetic Distribution Neural Network
Author:
Affiliation:
1. Department of Computing Science and UAHJIC, University of Alberta, Edmonton, AB, Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
http://xplorestaging.ieee.org/ielx7/83/9626658/09749010.pdf?arnumber=9749010
Reference96 articles.
1. 3DCD: Scene Independent End-to-End Spatiotemporal Feature Learning Framework for Change Detection in Unseen Videos
2. Deep Variation Transformation Network for Foreground Detection
3. A novel background subtraction algorithm based on parallel vision and Bayesian GANs
4. Dynamic Background Subtraction Using Least Square Adversarial Learning
5. BSUV-Net: A Fully-Convolutional Neural Network for Background Subtraction of Unseen Videos
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