Tracking in Presence of Total Occlusion and Size Variation using Mean Shift and Kalman Filter

@inproceedings{Ramos2011TrackingIP,
  title={Tracking in Presence of Total Occlusion and Size Variation using Mean Shift and Kalman Filter},
  author={Oscar E. Ramos and M. Ali Mirzaei and Fr{\'e}d{\'e}ric M{\'e}rienne},
  year={2011}
}
The classical mean shift algorithm for tracking in perfectly arranged conditions constitutes a good object tracking method. However, in the real environment it presents some limitations, especially under the presence of noise, objects with varying size, or occlusions. In order to deal with these problems, this paper proposes a reliable object tracking algorithm using mean shift and the Kalman filter, which was added to the traditional algorithm as a predictor when no reliable model of the… CONTINUE READING

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