EM Clustering of Incomplete Data Applied to Motion Segmentation

@inproceedings{Wong2004EMCO,
  title={EM Clustering of Incomplete Data Applied to Motion Segmentation},
  author={King Yuen Wong and Lu Ye and Minas E. Spetsakis},
  booktitle={BMVC},
  year={2004}
}
Many clustering problems in Computer Vision group data points that are the result of statistical estimation and these data points can have a great amount of uncertainty. Motion segmentation by clustering of optical flow is such an example because very often optical flow cannot be estimated without significant uncertainty. We present a EM based clustering algorithm for incomplete data and we apply it to the problem of motion segmentation. The input to the algorithm are the velocity likelihoods… CONTINUE READING