ML Anthology

Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector

Michal Uricár, Vojtech Franc, Václav Hlavác
ICCVW 2015 pp. 963-970
doi:10.1109/ICCVW.2015.127 /iccvw/2015/uricar2015iccvw-facial/

Abstract

In this paper we describe a tracker of facial landmarks submitted to the 300 Videos in the Wild (300-VW) challenge. Our tracker is a straightforward extension of a well tuned tree-based DPM landmark detector originally developed for static images. The tracker is obtained by applying the static detector independently in each frame and using the Kalman filter to smooth estimates of the face positions as well as to compensate possible failures of the face detector. The resulting tracker provides a robust estimate of 68 landmarks running at 5 fps on an ordinary PC. We provide an open-source implementation of the proposed tracker at (http://cmp.felk.cvut.cz/~uricamic/clandmark/).

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Cite

Text

Uricár et al. "Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector." IEEE/CVF International Conference on Computer Vision Workshops, 2015. doi:10.1109/ICCVW.2015.127

Markdown

[Uricár et al. "Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector." IEEE/CVF International Conference on Computer Vision Workshops, 2015.](https://mlanthology.org/iccvw/2015/uricar2015iccvw-facial/) doi:10.1109/ICCVW.2015.127

BibTeX

@inproceedings{uricar2015iccvw-facial,
  title     = {{Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector}},
  author    = {Uricár, Michal and Franc, Vojtech and Hlavác, Václav},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2015},
  pages     = {963-970},
  doi       = {10.1109/ICCVW.2015.127},
  url       = {https://mlanthology.org/iccvw/2015/uricar2015iccvw-facial/}
}