publications:
- title: "Spatially Adaptive Regularized Pel-Recursive Motion Estimation Based on the EM Algorithm"
  author:
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Nikolas P. Galatsanos"
    link: "http://academic.research.microsoft.com/Author/750594/nikolas-p-galatsanos"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Nikolas P. Galatsanos"
    link: "http://academic.research.microsoft.com/Author/750594/nikolas-p-galatsanos"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vânia Estrela"
    link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vânia Vieira Estrela"
    link: "http://scholar.google.com/citations?hl=en&user=-ZbglqgAAAAJ&view_op=list_works&pagesize=100"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Nikolas P. Galatsanos"
    link: "http://academic.research.microsoft.com/Author/750594/nikolas-p-galatsanos"
  - name: "Nikolas P. Galatsanos"
    link: "http://academic.research.microsoft.com/Author/750594/nikolas-p-galatsanos"
  - name: "Nikolaos Galatsanos"
    link: "http://researchr.org/profile/nikolaspgalatsanos/publications"
  year: "2000"
  doi: "10.1117/12.382969"
  abstract: "Pel-recursive motion estimation is a well-established approach for motion estimation. However, in the presence of noise, it becomes an il-posed problem that requires regulation. In the past, regularization for pel-recursive estimations was addressed in an ad-hoc manner. In this paper, a Bayesian estimation framework is used to deal with this issue. More specifically, motion vectors and regularization parameters are estimated in an iterative fashion by means of the Expectation- Maximization (EM) algorithm and a Gaussian data model. The proposed algorithm utilizes the local image properties to regularize the motion vector estimates following a spatially adaptive approach. Numerical experiments are presented that demonstrate the merits of the proposed algorithm."
  tags:
  - "rule-based"
  - "Expectation-Maximization Algorithm"
  - "regularization"
  - "EM Algorithm"
  - "Inverse problems"
  - "2D optical flow "
  - "image processing"
  - "Computer vision"
  - "Motion estimation"
  researchr: "https://researchr.org/publication/EstrelaGalatsanosEstrelaGalatsanos2000"
  cites: 0
  citedby: 6
  kind: "inproceedings"
  key: "EstrelaGalatsanosEstrelaGalatsanos2000"