publications:
- title: "A PRINCIPAL COMPONENT REGRESSION STRATEGY FOR ESTIMATING MOTION"
  author:
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela"
  - name: "Marcos Henrique da Silva Bassani"
    link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Author/3361386/vania-v-estrela"
  - name: "Vania Estrela"
    link: "http://www.linkedin.com/profile/view?id=101025443&trk=h-gnav-name-link-0"
  - name: "Marcos Henrique Da Silva Bassani"
    link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani"
  - name: "Marcos Henrique da Silva Bassani"
    link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "M. H. S. Bassani"
    link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Joaquim Teixeira Assis"
    link: "http://academic.research.microsoft.com/Author/35574429/joaquim-teixeira-de-assis"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Marcos Henrique da Silva Bassani"
    link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-bassani"
  year: "2008"
  abstract: "In this paper, we derive a principal component regression (PCR) method for estimating the optical flow between frames of video sequences according to a pel-recursive manner. This is an easy alternative to dealing with mixtures of motion vectors due to the lack of too much prior information on their statistics (although they are supposed to be normal). The 2D motion vector estimation takes into consideration local image properties. The main advantage of the developed procedure is that no knowledge of the noise distribution is necessary. Preliminary experiments indicate that this approach provides robust estimates of the optical flow."
  links:
    "url": "http://www.engopt.org/08/nukleo/pdfs/0418\\_eng\\_op2008\\_formatado\\_4.pdf"
  tags:
  - "clustering"
  - "image processing"
  - "Motion estimation"
  - "surveillance"
  - " motion detection"
  - "systematic-approach"
  - " principal component regression"
  researchr: "https://researchr.org/publication/citeulike%3A11969138"
  cites: 16
  citedby: 0
  journal: "EngOpt 2008 - International Conference on Engineering Optimization"
  kind: "article"
  key: "citeulike:11969138"
- title: "Blind signal separation and identification of mixtures of images"
  author:
  - name: "Felipe Pereira do Carmo"
    link: "http://academic.research.microsoft.com/Author/49826901/f-p-do-carmo"
  - name: "Joaquim Teixeira de Assis"
    link: "http://lattes.cnpq.br/7307238902576135"
  - name: "Vania Vieira Estrela"
    link: "http://www.linkedin.com/profile/view?id=101025443&trk=h-gnav-name-link-0"
  - name: "Alessandra Martins Coelho"
    link: "http://academic.research.microsoft.com/Author/53930956/alessandra-martins-coelho"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  - name: "Joaquim Teixeira de Assis"
    link: "http://academic.research.microsoft.com/Author/54447924/j-t-de-assis"
  - name: "Joaquim Teixeira Assis"
    link: "http://academic.research.microsoft.com/Author/35574429/joaquim-teixeira-de-assis"
  - name: "Vania Vieira Estrela"
    link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7"
  - name: "Vania Vieira Estrela"
    link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial"
  year: "2009"
  month: "nov"
  doi: "10.1109/ACSSC.2009.5470083"
  abstract: "In this paper, a novel technique for blind signal separation based on a combination of second order and higher order approaches is introduced. The problem of blind signal separation was solved in a wavelet domain. The main idea behind this approach is that the mixing signal can be decomposed into a sum of uncorrelated and/or independent sub-bands using the wavelet transform. In the beginning, the observed signal is prewhitened in the time domain then, the initial separation matrix will be estimated from second order statistics decorrelation method in the wavelet domain. The estimating matrix will be used as an initial separating matrix in the higher order statistics method in order to estimate the final separation matrix. The algorithm was tested using natural images. Extensive experiments have confirmed that the use of the proposed procedure provides promising results in separating the image from noisy mixtures of images."
  links:
    "url": "http://dx.doi.org/10.1109/ACSSC.2009.5470083"
  tags:
  - "rule-based"
  - "testing"
  - "systematic-approach"
  researchr: "https://researchr.org/publication/citeulike%3A7598576"
  cites: 24
  citedby: 0
  pages: "337-342"
  booktitle: "2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers"
  kind: "inproceedings"
  key: "citeulike:7598576"