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PhD Forum: illumination-robust foreground detection for multi-camera occupancy mapping

Bo Bo Nyan UGent, Sebastian Grünwedel, Peter Van Hese, Jorge Niño Castañeda UGent, Dirk Van Haerenborgh, Dimitri Van Cauwelaert UGent, Peter Veelaert UGent and Wilfried Philips UGent (2012) 2012 SIXTH INTERNATIONAL CONFERENCE ON DISTRIBUTED SMART CAMERAS (ICDSC).
abstract
Foreground detection is an essential preprocessing step for many image processing applications such as object tracking, human action recognition, pose estimation and occupancy mapping. Many existing techniques only perform well under steady illumination. Some approaches have been introduced to detect foreground under varying or sudden changes in illumination but the problem remains challenging. In this paper, we introduce a new texture-based foreground detection method which is robust to illumination change. Our method detects foreground by finding the correlation between the current frame and a background model. A region with low correlation is detected as foreground. We compare the performance of our proposed technique with other techniques from literature (edge-based, ViBe and Gaussian mixture model) as a preprocessing step of the multi-camera occupancy mapping system. The evaluation demonstrates that our technique outperforms the other methods in term of object loss.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
segmentation, illumination-robustness, occupancy mapping, foreground detection
in
2012 SIXTH INTERNATIONAL CONFERENCE ON DISTRIBUTED SMART CAMERAS (ICDSC)
pages
2 pages
publisher
Association for Computing Machinery (ACM)
conference name
6th ACM/IEEE international conference on Distributed Smart Cameras (ICDSC - 2012)
conference location
Hong Kong, China
conference start
2012-10-30
conference end
2012-11-02
Web of Science type
Proceedings Paper
Web of Science id
000319395400045
ISBN
9781450317726
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
3069264
handle
http://hdl.handle.net/1854/LU-3069264
date created
2012-12-11 11:26:23
date last changed
2016-12-19 15:36:56
@inproceedings{3069264,
  abstract     = {Foreground detection is an essential preprocessing step for many image processing applications such as object tracking, human action recognition, pose estimation and occupancy mapping. Many existing techniques only perform well under steady illumination. Some approaches have been introduced to detect foreground under varying or sudden changes in illumination but the problem remains challenging. In this paper, we introduce a new texture-based foreground detection method which is robust to illumination change. Our method detects foreground by finding the correlation between the current frame and a background model. A region with low correlation is detected as foreground. We compare the performance of our proposed technique with other techniques from literature (edge-based, ViBe and Gaussian mixture model) as a preprocessing step of the multi-camera occupancy mapping system. The evaluation demonstrates that our technique outperforms the other methods in term of object loss.},
  author       = {Nyan, Bo Bo and Gr{\"u}nwedel, Sebastian and Van Hese, Peter and Ni{\~n}o Casta{\~n}eda, Jorge and Van Haerenborgh, Dirk and Van Cauwelaert, Dimitri and Veelaert, Peter and Philips, Wilfried},
  booktitle    = {2012 SIXTH INTERNATIONAL CONFERENCE ON DISTRIBUTED SMART CAMERAS (ICDSC)},
  isbn         = {9781450317726},
  keyword      = {segmentation,illumination-robustness,occupancy mapping,foreground detection},
  language     = {eng},
  location     = {Hong Kong, China},
  pages        = {2},
  publisher    = {Association for Computing Machinery (ACM)},
  title        = {PhD Forum: illumination-robust foreground detection for multi-camera occupancy mapping},
  year         = {2012},
}

Chicago
Nyan, Bo Bo, Sebastian Grünwedel, Peter Van Hese, Jorge Niño Castañeda, Dirk Van Haerenborgh, Dimitri Van Cauwelaert, Peter Veelaert, and Wilfried Philips. 2012. “PhD Forum: Illumination-robust Foreground Detection for Multi-camera Occupancy Mapping.” In 2012 SIXTH INTERNATIONAL CONFERENCE ON DISTRIBUTED SMART CAMERAS (ICDSC). Association for Computing Machinery (ACM).
APA
Nyan, B. B., Grünwedel, S., Van Hese, P., Niño Castañeda, J., Van Haerenborgh, D., Van Cauwelaert, D., Veelaert, P., et al. (2012). PhD Forum: illumination-robust foreground detection for multi-camera occupancy mapping. 2012 SIXTH INTERNATIONAL CONFERENCE ON DISTRIBUTED SMART CAMERAS (ICDSC). Presented at the 6th ACM/IEEE international conference on Distributed Smart Cameras (ICDSC - 2012), Association for Computing Machinery (ACM).
Vancouver
1.
Nyan BB, Grünwedel S, Van Hese P, Niño Castañeda J, Van Haerenborgh D, Van Cauwelaert D, et al. PhD Forum: illumination-robust foreground detection for multi-camera occupancy mapping. 2012 SIXTH INTERNATIONAL CONFERENCE ON DISTRIBUTED SMART CAMERAS (ICDSC). Association for Computing Machinery (ACM); 2012.
MLA
Nyan, Bo Bo, Sebastian Grünwedel, Peter Van Hese, et al. “PhD Forum: Illumination-robust Foreground Detection for Multi-camera Occupancy Mapping.” 2012 SIXTH INTERNATIONAL CONFERENCE ON DISTRIBUTED SMART CAMERAS (ICDSC). Association for Computing Machinery (ACM), 2012. Print.