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A low resolution multi-camera system for person tracking

Mohamed Eldib (UGent) , Bo Bo Nyan (UGent) , Francis Deboeverie (UGent) , Jorge Niño Castañeda (UGent) , Junzhi Guan (UGent) , Samuel Van de Velde (UGent) , Heidi Steendam (UGent) , Hamid Aghajan (UGent) and Wilfried Philips (UGent)
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Abstract
The current multi-camera systems have not studied the problem of person tracking under low resolution constraints. In this paper, we propose a low resolution sensor network for person tracking. The network is composed of cameras with a resolution of 30x30 pixels. The multi-camera system is used to evaluate probability occupancy mapping and maximum likelihood trackers against ground truth collected by ultra-wideband (UWB) testbed. Performance evaluation is performed on two video sequences of 30 minutes. The experimental results show that maximum likelihood estimation based tracker outperforms the state-of-the-art on low resolution cameras
Keywords
Low resolution multi-camera systems, foreground detection, tracking, behavior analysis

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Please use this url to cite or link to this publication:

Chicago
Eldib, Mohamed, Bo Bo Nyan, Francis Deboeverie, Jorge Niño Castañeda, Junzhi Guan, Samuel Van de Velde, Heidi Steendam, Hamid Aghajan, and Wilfried Philips. 2014. “A Low Resolution Multi-camera System for Person Tracking.” In IEEE International Conference on Image Processing ICIP, 378–382. Piscataway, NJ, USA: IEEE.
APA
Eldib, M., Nyan, B. B., Deboeverie, F., Niño Castañeda, J., Guan, J., Van de Velde, S., Steendam, H., et al. (2014). A low resolution multi-camera system for person tracking. IEEE International Conference on Image Processing ICIP (pp. 378–382). Presented at the IEEE International Conference on Image Processing (ICIP), Piscataway, NJ, USA: IEEE.
Vancouver
1.
Eldib M, Nyan BB, Deboeverie F, Niño Castañeda J, Guan J, Van de Velde S, et al. A low resolution multi-camera system for person tracking. IEEE International Conference on Image Processing ICIP. Piscataway, NJ, USA: IEEE; 2014. p. 378–82.
MLA
Eldib, Mohamed, Bo Bo Nyan, Francis Deboeverie, et al. “A Low Resolution Multi-camera System for Person Tracking.” IEEE International Conference on Image Processing ICIP. Piscataway, NJ, USA: IEEE, 2014. 378–382. Print.
@inproceedings{5671222,
  abstract     = {The current multi-camera systems have not studied the problem of person tracking under low resolution constraints. In this paper, we propose a low resolution sensor network for person tracking. The network is composed of cameras with a resolution of 30x30 pixels. The multi-camera system is used to evaluate probability occupancy mapping and maximum likelihood trackers against ground truth collected by ultra-wideband (UWB) testbed. Performance evaluation is performed on two video sequences of 30 minutes. The experimental results show that maximum likelihood estimation based tracker outperforms the state-of-the-art on low resolution cameras},
  author       = {Eldib, Mohamed and Nyan, Bo Bo and Deboeverie, Francis and Ni{\~n}o Casta{\~n}eda, Jorge and Guan, Junzhi and Van de Velde, Samuel and Steendam, Heidi and Aghajan, Hamid and Philips, Wilfried},
  booktitle    = {IEEE International Conference on Image Processing ICIP},
  isbn         = {9781479957514},
  issn         = {1522-4880},
  language     = {eng},
  location     = {Paris, France},
  pages        = {378--382},
  publisher    = {IEEE},
  title        = {A low resolution multi-camera system for person tracking},
  year         = {2014},
}

Web of Science
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