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Occlusion robust symbol level fusion for multiple people tracking

Bo Bo Nyan (UGent) , Peter Veelaert (UGent) and Wilfried Philips (UGent)
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Chicago
Nyan, Bo Bo, Peter Veelaert, and Wilfried Philips. 2017. “Occlusion Robust Symbol Level Fusion for Multiple People Tracking.” In 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 6:216–226. SCITEPRESS – Science and Technology Publications, Lda.
APA
Nyan, B. B., Veelaert, P., & Philips, W. (2017). Occlusion robust symbol level fusion for multiple people tracking. 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (Vol. 6, pp. 216–226). Presented at the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, SCITEPRESS – Science and Technology Publications, Lda.
Vancouver
1.
Nyan BB, Veelaert P, Philips W. Occlusion robust symbol level fusion for multiple people tracking. 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. SCITEPRESS – Science and Technology Publications, Lda.; 2017. p. 216–26.
MLA
Nyan, Bo Bo, Peter Veelaert, and Wilfried Philips. “Occlusion Robust Symbol Level Fusion for Multiple People Tracking.” 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Vol. 6. SCITEPRESS – Science and Technology Publications, Lda., 2017. 216–226. Print.
@inproceedings{8512783,
  author       = {Nyan, Bo Bo and Veelaert, Peter and Philips, Wilfried},
  booktitle    = {12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications},
  isbn         = {978-989-758-227-1},
  language     = {eng},
  location     = {Porto, Portugal},
  pages        = {216--226},
  publisher    = {SCITEPRESS -- Science and Technology Publications, Lda.},
  title        = {Occlusion robust symbol level fusion for multiple people tracking},
  volume       = {6},
  year         = {2017},
}