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High performance multi-camera tracking using shapes-from-silhouettes and occlusion removal

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Abstract
Reliable indoor tracking of objects and persons is still a major challenge in computer vision. As GPS is unavailable indoors, other methods have to be used. Multi-camera systems using colour cameras is one approach to tackle this problem. In this paper we will present a method based on shapes-from-silhouettes where the foreground/background segmentation videos are produced with state of the art methods. We will show that our tracker outperforms all the other trackers we evaluated and obtains an accuracy of 97.89% within 50 cm from the ground truth position on the proposed dataset.
Keywords
shape-from-silhouettes, tracking, occlusion handling

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Chicago
Slembrouck, Maarten, Jorge Niño Castañeda, Gianni Allebosch, Dimitri Van Cauwelaert, Peter Veelaert, and Wilfried Philips. 2015. “High Performance Multi-camera Tracking Using Shapes-from-silhouettes and Occlusion Removal.” In Proceedings of the 9th International Conference on Distributed Smart Cameras, 44–49. New York, NY, USA: ACM.
APA
Slembrouck, M., Niño Castañeda, J., Allebosch, G., Van Cauwelaert, D., Veelaert, P., & Philips, W. (2015). High performance multi-camera tracking using shapes-from-silhouettes and occlusion removal. Proceedings of the 9th International Conference on Distributed Smart Cameras (pp. 44–49). Presented at the 9th International Conference on Distributed Smart Cameras (ICDSC 2015), New York, NY, USA: ACM.
Vancouver
1.
Slembrouck M, Niño Castañeda J, Allebosch G, Van Cauwelaert D, Veelaert P, Philips W. High performance multi-camera tracking using shapes-from-silhouettes and occlusion removal. Proceedings of the 9th International Conference on Distributed Smart Cameras. New York, NY, USA: ACM; 2015. p. 44–9.
MLA
Slembrouck, Maarten, Jorge Niño Castañeda, Gianni Allebosch, et al. “High Performance Multi-camera Tracking Using Shapes-from-silhouettes and Occlusion Removal.” Proceedings of the 9th International Conference on Distributed Smart Cameras. New York, NY, USA: ACM, 2015. 44–49. Print.
@inproceedings{6968263,
  abstract     = {Reliable indoor tracking of objects and persons is still a major challenge in computer vision. As GPS is unavailable indoors, other methods have to be used. Multi-camera systems using colour cameras is one approach to tackle this problem. In this paper we will present a method based on shapes-from-silhouettes where the foreground/background segmentation videos are produced with state of the art methods. We will show that our tracker outperforms all the other trackers we evaluated and obtains an accuracy of 97.89\% within 50 cm from the ground truth position on the proposed dataset.},
  author       = {Slembrouck, Maarten and Ni{\~n}o Casta{\~n}eda, Jorge and Allebosch, Gianni and Van Cauwelaert, Dimitri and Veelaert, Peter and Philips, Wilfried},
  booktitle    = {Proceedings of the 9th International Conference on Distributed Smart Cameras},
  isbn         = {978-1-4503-3681-9},
  language     = {eng},
  location     = {Seville, Spain},
  pages        = {44--49},
  publisher    = {ACM},
  title        = {High performance multi-camera tracking using shapes-from-silhouettes and occlusion removal},
  url          = {http://dx.doi.org/10.1145/2789116.2789127},
  year         = {2015},
}

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