Statistical tracking in video traffic surveillance

@article{Boyd1999StatisticalTI,
  title={Statistical tracking in video traffic surveillance},
  author={Jeffrey E. Boyd and Jean Meloche and Yehuda Vardi},
  journal={Proceedings of the Seventh IEEE International Conference on Computer Vision},
  year={1999},
  volume={1},
  pages={163-168 vol.1}
}
Applications that interpret video data need to track objects as they move in a scene. Tracking methods that estimate the state trajectories of objects as they change over time (e.g. Kalman filter) have difficulty as the number of objects and clutter increase. We present an alternative, called statistical tracking, that is based on the concept of network tomography. A scene is modeled as a network of interconnected regions. Statistical tracking estimates the number of trips made from one region… CONTINUE READING

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