An evolutionary optimized vehicle tracker in collaboration with a detection system

@article{Haselhoff2009AnEO,
  title={An evolutionary optimized vehicle tracker in collaboration with a detection system},
  author={Anselm Haselhoff and Anton Kummert},
  journal={2009 12th International IEEE Conference on Intelligent Transportation Systems},
  year={2009},
  pages={1-6}
}
In this work a learning algorithm for visual object tracking is presented. As object representation a fast computable set of Haar-like features is used and a weighted correlation is applied for the matching process. The object tracker utilizes the same set of features that is already calculated for object detection and thus it is possible to reuse features for detection and tracking. The feature's weight values are optimized for the tracking purpose by means of evolutionary strategies… CONTINUE READING

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