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: "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 (Posters)" kind: "inproceedings" key: "EstrelaRB04" - 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: "Hierarchically Structured Bounding Boxes as an Aid for Cartography and Photogrammetry" author: - name: "Marcos Henrique da Silva Bassani" link: "http://academic.research.microsoft.com/Author/42688555/m-h-da-silva-bassani" - name: "Vania V Estrela" link: "http://academic.research.microsoft.com/Author/3361386" - name: "M. H. S. Bassani" link: "http://academic.research.microsoft.com/Author/10661924/marcos-h-s-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: "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: "https://www.researchgate.net/profile/Vania_Estrela?ev=hdr_xprf&_sg=l2it7UJUf2g4wSUGGVaee_gK6wbXK75hN_Rt6P_99NMr2_HObKqAkOwo4ujJMZp7" year: "2010" abstract: "A 2D edge analysis scheme has been formulated based on (i) the wavelet transform; (ii) a data structure/object model named HSOBB with multi-resolution support; and (iii) multiple scale significance testing. It quickly isolates contour pieces that may belong to areas under risk. In real time applications, where the test for boundary changes is made in each time step, this is very important for studying the evolution of geotechnical phenomena and handling smooth curves as well as polygonal approximations. HSOBB introduces some noise filtering as well. It is a good option to more classical procedures, since it is able of dealing with a wide range of practical problems. Edges or abrupt jumps in contours may be enhanced by the use of different types of wavelet transform. Additional performance enhancements can be accomplished if noise is not assumed to be Gaussian, since commonly used detectors may have other types of noise ([12], [14], [15]), and may be subject to nonlinear distortions. An algorithm to detect exact interference for general and polygonal models was introduced. It pre-computes a hierarchical model representation using tight fitting OBB trees. At runtime, it goes across two such trees and tries to find overlaps among OBBs based on the separating axis theorem. In particular, it can robustly and accurately detect contacts between large complex geometries. " tags: - "object-role modeling" - "data-flow analysis" researchr: "https://researchr.org/publication/da-Silva-Bassani.-Estrela2010" cites: 15 citedby: 1 booktitle: "Hierarchically Structured Bounding Boxes as an Aid for Cartography and Photogrammetry" kind: "proceedings" key: "da-Silva-Bassani.-Estrela2010"