Distractor-Aware Tracker

We provide a reimplementation of our CVPR'15 paper In Defense of Color-based Model-free Tracking.

In this work, we address color-based online object tracking where neither class-specific prior knowledge nor pre-learned object models are available. Combining a discriminative object-vs-background model with an additional distractor-aware term, we show that tracker based on standard color representations (such as histograms) can achieve state-of-the-art performance on a variety of test sequences.

Download

Code & demo data (~5 MB, MATLAB)

Results for our CVPR'15 experiments (~5 MB)

Citation

If you use this tracker, please cite our paper:

In Defense of Color-based Model-free Tracking
Horst Possegger, Thomas Mauthner and Horst Bischof
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015

BibTeX reference for convenience:

@INPROCEEDINGS{possegger15a,
  author = {Horst Possegger and Thomas Mauthner and Horst Bischof},
  title = {{In Defense of Color-based Model-free Tracking}},
  booktitle = {{Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}},
  year = {2015}
}