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

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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.
Keywords
segmentation, illumination-robustness, occupancy mapping, foreground detection

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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.
@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},
}

Web of Science
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