Visual tracking with online Multiple Instance Learning

@article{Babenko2009VisualTW,
  title={Visual tracking with online Multiple Instance Learning},
  author={Boris Babenko and Ming-Hsuan Yang and Serge J. Belongie},
  journal={2009 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2009},
  pages={983-990}
}
In this paper, we address the problem of learning an adaptive appearance model for object tracking. In particular, a class of tracking techniques called “tracking by detection” have been shown to give promising results at real-time speeds. These methods train a discriminative classifier in an online manner to separate the object from the background. This… CONTINUE READING

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