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Occlusion-robust detector trained with occluded pedestrians

Zhixin Guo (UGent) , Wenzhi Liao (UGent) , Peter Veelaert (UGent) and Wilfried Philips (UGent)
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Keywords
Pedestrian Detection, Occlusion Handling, Adaboost, Integral Channel Features

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Citation

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

Chicago
Guo, Zhixin, Wenzhi Liao, Peter Veelaert, and Wilfried Philips. 2018. “Occlusion-robust Detector Trained with Occluded Pedestrians.” In PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM 2018) , 86–94. SCITEPRESS - Science and Technology Publications.
APA
Guo, Zhixin, Liao, W., Veelaert, P., & Philips, W. (2018). Occlusion-robust detector trained with occluded pedestrians. PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM 2018) (pp. 86–94). Presented at the 7th International Conference on Pattern Recognition Applications and Methods (ICPRAM) , SCITEPRESS - Science and Technology Publications.
Vancouver
1.
Guo Z, Liao W, Veelaert P, Philips W. Occlusion-robust detector trained with occluded pedestrians. PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM 2018) . SCITEPRESS - Science and Technology Publications; 2018. p. 86–94.
MLA
Guo, Zhixin, Wenzhi Liao, Peter Veelaert, et al. “Occlusion-robust Detector Trained with Occluded Pedestrians.” PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM 2018) . SCITEPRESS - Science and Technology Publications, 2018. 86–94. Print.
@inproceedings{8569163,
  author       = {Guo, Zhixin and Liao, Wenzhi and Veelaert, Peter and Philips, Wilfried},
  booktitle    = {PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS (ICPRAM 2018) },
  isbn         = {9789897582769},
  language     = {eng},
  location     = {Funchal, PORTUGAL },
  pages        = {86--94},
  publisher    = {SCITEPRESS - Science and Technology Publications},
  title        = {Occlusion-robust detector trained with occluded pedestrians},
  url          = {http://dx.doi.org/10.5220/0006569200860094},
  year         = {2018},
}

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