ML Anthology

Occlusion Robust Adaptive Template Tracking

Hieu Tat Nguyen, Marcel Worring, Rein van den Boomgaard
ICCV 2001 pp. 678-683
doi:10.1109/ICCV.2001.10097 /iccv/2001/nguyen2001iccv-occlusion/

Abstract

We propose a new method for tracking rigid objects in image sequences using template matching. A Kalman filter is used to make the template adapt to changes in object orientation or illumination. This approach is novel since the Kalman filter has been used in tracking mainly for smoothing the object trajectory. The performance of the Kalman filter is further improved by employing a robust and adaptive filtering algorithm. Special attention is paid to occlusion handling.

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Cite

Text

Nguyen et al. "Occlusion Robust Adaptive Template Tracking." IEEE/CVF International Conference on Computer Vision, 2001. doi:10.1109/ICCV.2001.10097

Markdown

[Nguyen et al. "Occlusion Robust Adaptive Template Tracking." IEEE/CVF International Conference on Computer Vision, 2001.](https://mlanthology.org/iccv/2001/nguyen2001iccv-occlusion/) doi:10.1109/ICCV.2001.10097

BibTeX

@inproceedings{nguyen2001iccv-occlusion,
  title     = {{Occlusion Robust Adaptive Template Tracking}},
  author    = {Nguyen, Hieu Tat and Worring, Marcel and van den Boomgaard, Rein},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2001},
  pages     = {678-683},
  doi       = {10.1109/ICCV.2001.10097},
  url       = {https://mlanthology.org/iccv/2001/nguyen2001iccv-occlusion/}
}