Supervised Object Segmentation and Tracking for MPEG-4 VOP Generation

@inproceedings{Marlow2000SupervisedOS,
  title={Supervised Object Segmentation and Tracking for MPEG-4 VOP Generation},
  author={Se{\'a}n Marlow and Noel E. O'Connor},
  booktitle={ICPR},
  year={2000}
}
This paper presents an object-based segmentation and tracking scheme for video sequences. The probability density function (PDF) of each image to be segmented is modeled as a mixture of independent object PDFs. In the first image of the sequence, the parameters of the mixture are initially estimated based on user interaction. These parameters are then iteratively updated using the Expectation Maximization (EM) algorithm. A classijkation procedure applied to the results of the EM algorithm… CONTINUE READING

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