publications: - title: "Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation" author: - name: "Vania Vieira Estrela" link: "http://academic.research.microsoft.com/Publication/584912/regularized-pel-recursive-motion-estimation-using-generalized-cross-validation-and-spatial" - name: "Luís Antonio Rivera" link: "http://academic.research.microsoft.com/Author/1161431/luis-a-rivera" - 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: "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" - name: "Vânia Estrela" link: "http://br.linkedin.com/pub/vania-v-estrela/29/9bb/96b/" - 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: "Luis Antonio Rivera" link: "http://academic.research.microsoft.com/Author/19802137/luis-a-river" - name: "Luis Antonio Rivera Escriba" link: "http://lattes.cnpq.br/6277334830315068" - name: "Vania Vieira Estrela" link: "http://buscatextual.cnpq.br/buscatextual/visualizacv.jsp?id=K4793789Y3&mostrarNroCitacoesISI=true&mostrarNroCitacoesScopus=true&mostrarNroCitacoesScielo=true" - name: "Vania Vieira Estrela" link: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2004" abstract: "Pel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, motion vectors are estimated in an iterative fashion by means of the Expectation-Maximization (EM) algorithm and a Gaussian data model. Our proposed algorithm also utilizes the local image properties of the scene to improve the motion vector estimates following a spatially adaptive approach. Numerical experiments are presented that demonstrate the merits of our methods." researchr: "https://researchr.org/publication/EstrelaRB04" cites: 9 citedby: 0 pages: "47-54" booktitle: "wscg" kind: "inproceedings" key: "EstrelaRB04"