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On the Role and the Importance of Features for Background Modeling and
  Foreground Detection

On the Role and the Importance of Features for Background Modeling and Foreground Detection

28 November 2016
T. Bouwmans
Caroline Silva
C. Marghes
M. S. Zitouni
H. Bhaskar
C. Frélicot
ArXiv (abs)PDFHTML

Papers citing "On the Role and the Importance of Features for Background Modeling and Foreground Detection"

6 / 6 papers shown
Title
Comparison of Object Detection Algorithms Using Video and Thermal Images
  Collected from a UAS Platform: An Application of Drones in Traffic Management
Comparison of Object Detection Algorithms Using Video and Thermal Images Collected from a UAS Platform: An Application of Drones in Traffic Management
Hualong Tang
J. Post
A. Kourtellis
Brian Porter
Yu Zhang
37
3
0
27 Sep 2021
Learning the Precise Feature for Cluster Assignment
Learning the Precise Feature for Cluster Assignment
Yanhai Gan
Xinghui Dong
Huiyu Zhou
Feng Gao
Junyu Dong
79
5
0
11 Jun 2021
Moving Objects Detection with a Moving Camera: A Comprehensive Review
Moving Objects Detection with a Moving Camera: A Comprehensive Review
Marie-Neige Chapel
T. Bouwmans
75
94
0
15 Jan 2020
Background Subtraction in Real Applications: Challenges, Current Models
  and Future Directions
Background Subtraction in Real Applications: Challenges, Current Models and Future Directions
T. Bouwmans
B. G. García
81
270
0
11 Jan 2019
Deep Neural Network Concepts for Background Subtraction: A Systematic
  Review and Comparative Evaluation
Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation
T. Bouwmans
S. Javed
M. Sultana
Soon Ki Jung
84
322
0
13 Nov 2018
A Fusion Framework for Camouflaged Moving Foreground Detection in the
  Wavelet Domain
A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain
Shuai Li
D. Florêncio
W. Li
Yaqin Zhao
Chris Cook
130
44
0
16 Apr 2018
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