Background Subtraction in Real Applications: Challenges, Current Models and Future Directions

11 January 2019

Papers citing "Background Subtraction in Real Applications: Challenges, Current Models and Future Directions"

10 / 10 papers shown

Title
Explicit Motion Handling and Interactive Prompting for Video Camouflaged Object Detection Xin Zhang Tao Xiao Gepeng Ji Xuan Wu Keren Fu Qijun Zhao 47 2 0 04 Mar 2024
Smooth Robust Tensor Completion for Background/Foreground Separation with Missing Pixels: Novel Algorithm with Convergence Guarantee Bo Shen Weijun Xie Zhen Kong 32 8 0 29 Mar 2022
Unsupervised Anomaly Detection from Time-of-Flight Depth Images Pascal Schneider J. Rambach B. Mirbach D. Stricker 17 7 0 02 Mar 2022
Optical flow-based branch segmentation for complex orchard environments A. You C. Grimm J. Davidson 15 9 0 26 Feb 2022
Autoencoder-based background reconstruction and foreground segmentation with background noise estimation Bruno Sauvalle A. de La Fortelle 13 11 0 15 Dec 2021
Nondestructive Testing of Composite Fibre Materials with Hyperspectral Imaging : Evaluative Studies in the EU H2020 FibreEUse Project Yijun Yan Jinchang Ren Huan Zhao J. Windmill W. Ijomah Jesper de Wit Justus von Freeden 11 22 0 04 Nov 2021
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture Pedro Machado Ieee ID Andreas Oikonomou Student Member J. Ferreira I. T. M. Member 20 7 0 09 Sep 2021
Universal Background Subtraction based on Arithmetic Distribution Neural Network Chenqiu Zhao Kang-Ting Hu Anup Basu 18 21 0 16 Apr 2021
BSUV-Net 2.0: Spatio-Temporal Data Augmentations for Video-Agnostic Supervised Background Subtraction M. Tezcan Prakash Ishwar Janusz Konrad 11 76 0 23 Jan 2021
Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection A. Akhriev Jakub Mareˇcek UQCV 19 4 0 09 Dec 2019