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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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MLA
Slembrouck, Maarten, et al. “High Performance Multi-Camera Tracking Using Shapes-from-Silhouettes and Occlusion Removal.” Proceedings of the 9th International Conference on Distributed Smart Cameras, ACM, 2015, pp. 44–49, doi:10.1145/2789116.2789127.
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, 44–49. https://doi.org/10.1145/2789116.2789127
Chicago author-date
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. https://doi.org/10.1145/2789116.2789127.
Chicago author-date (all authors)
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. doi:10.1145/2789116.2789127.
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. In: Proceedings of the 9th International Conference on Distributed Smart Cameras. New York, NY, USA: ACM; 2015. p. 44–9.
IEEE
[1]
M. Slembrouck, J. Niño Castañeda, G. Allebosch, D. Van Cauwelaert, P. Veelaert, and W. Philips, “High performance multi-camera tracking using shapes-from-silhouettes and occlusion removal,” in Proceedings of the 9th International Conference on Distributed Smart Cameras, Seville, Spain, 2015, pp. 44–49.
@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 Niño Castañeda, 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}},
  keywords     = {{shape-from-silhouettes,tracking,occlusion handling}},
  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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