Compressive Online Video Background–Foreground Separation Using Multiple Prior Information and Optical Flow-Reference-Cited by-同舟云学术

Compressive Online Video Background–Foreground Separation Using Multiple Prior Information and Optical Flow

Published:2018-07-03 Issue:7 Volume:4 Page:90
ISSN:2313-433X
Container-title:Journal of Imaging
language:en
Short-container-title:J. Imaging

Author:

Prativadibhayankaram Srivatsa,Luong Huynh,Le Thanh,Kaup André

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging

Link

http://www.mdpi.com/2313-433X/4/7/90/pdf

Reference56 articles.

1. Robust principal component analysis?

2. Robust principal component analysis: Exact recovery of corrupted low-rank matrices via convex optimization;Wright;Adv. Neural Inf. Process. Syst.,2009

3. Determining optical flow

4. Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods

5. A Database and Evaluation Methodology for Optical Flow

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Framework for Detection of Objects from Video Using Deep Learning;Springer Proceedings in Mathematics & Statistics;2024

2. ORGRU: Online Robust Gated Recurrent Units for Real-Time Background Subtraction in Video Sequences;2023-07-10

3. A Light-Weight and Robust Tensor Convolutional Autoencoder For Anomaly Detection;IEEE Transactions on Knowledge and Data Engineering;2023

4. An improved statistical approach for moving object detection in thermal video frames;Multimedia Tools and Applications;2022-01-06

5. Foreground Detection in Dynamic Scenes using Robust Principal Component Analysis in comparison with Gaussian Mixture Model to measure F-score;Journal of Pharmaceutical Negative Results;2022-01-01