Carme Julia, Angel Sappa, Felipe Lumbreras, Joan Serrat, & Antonio Lopez. (2008). Rank Estimation in 3D Multibody Motion Segmentation. Electronic Letters, 44(4), 279–280.
Abstract: A novel technique for rank estimation in 3D multibody motion segmentation is proposed. It is based on the study of the frequency spectra of moving rigid objects and does not use or assume a prior knowledge of the objects contained in the scene (i.e. number of objects and motion). The significance of rank estimation on multibody motion segmentation results is shown by using two motion segmentation algorithms over both synthetic and real data.
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David Masip, Agata Lapedriza, & Jordi Vitria. (2007). Measuring External Face Appearance for Face Classification. In Face Recognition, Ed. Kresimir Delac and Mislav Grgic, pp. 287–307, ISBN 978–3–902613–03–5, I–Tech Education and Publishing.
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Joan Serrat, & Antonio Lopez. (2006). Una experiencia de Enginyeria del Software amb ABP.
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Oriol Pujol, Sergio Escalera, & Petia Radeva. (2008). An Incremental Node Embedding Technique for Error Correcting Output Codes. PR - Pattern Recognition, 713–725.
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Jose Manuel Alvarez, Antonio Lopez, & Ramon Baldrich. (2007). Shadow Resistant Road Segmentation from a Mobile Monocular System. In 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4477:9–16.
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David Masip, & Jordi Vitria. (2008). Shared Feature Extraction for Nearest Neighbor Face Recognition. IEEE Transactions on Neural Networks, 586–595.
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Murad Al Haj. (2008). Face Detection in Color Images Using Primitive Shape Features.
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Mathieu Nicolas Delalandre, Ernest Valveny, & Josep Llados. (2008). Performance Evaluation of Symbol Recognition and Spotting Systems: An Overview.
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A. Diplaros, N. Vlassis, & Theo Gevers. (2007). A Spatially Constrained Generative Model and an EM Algorithm for Image Segmentation. IEEE Transactions on Neural Networks, 798–808.
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H.M.G. Stokman, & Theo Gevers. (2007). Selection and Fusion of Color Models for Image Feature Detection. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.29(3):371–381.
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Joost Van de Weijer, Theo Gevers, & A. Gijsenij. (2007). Edge-Based Color Constancy. IEEE Trans. on Image Processing, vol. 16(9):2207–2214.
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Bogdan Raducanu, & Jordi Vitria. (2008). Learning to Learn: From Smarts Machines to Intelligent Machines. PRL - Patter Recognition Letters, 1024–1032.
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Sergio Escalera, David M.J. Tax, Oriol Pujol, Petia Radeva, & Robert P.W. Duin. (2008). Subclass Problem-Dependent Design for Error-Correcting Output Codes. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.30(6):1041–1054.
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S. Tanimoto, N. Bruining, David Rotger, Petia Radeva, J. Ligthart, R.T. van Domburg, et al. (2008). Late Stent Recoil of the Bioabsorbable Everolimus Eluting Coronary Stent and its Relationship with Stent Struts Distribution and Plaque Morphology. Journal of the American College of Cardiology, vol. 52(20):1616–1620.
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Carles Fernandez, Pau Baiget, Xavier Roca, & Jordi Gonzalez. (2008). Interpretation of Complex Situations in a Semantic-based Surveillance Framework. Signal Processing: Image Communication, Special Issue on Semantic Analysis for Interactive Multimedia Services, 554–569.
Abstract: The integration of cognitive capabilities in computer vision systems requires both to enable high semantic expressiveness and to deal with high computational costs as large amounts of data are involved in the analysis. This contribution describes a cognitive vision system conceived to automatically provide high-level interpretations of complex real-time situations in outdoor and indoor scenarios, and to eventually maintain communication with casual end users in multiple languages. The main contributions are: (i) the design of an integrative multilevel architecture for cognitive surveillance purposes; (ii) the proposal of a coherent taxonomy of knowledge to guide the process of interpretation, which leads to the conception of a situation-based ontology; (iii) the use of situational analysis for content detection and a progressive interpretation of semantically rich scenes, by managing incomplete or uncertain knowledge, and (iv) the use of such an ontological background to enable multilingual capabilities and advanced end-user interfaces. Experimental results are provided to show the feasibility of the proposed approach.
Keywords: Cognitive vision system; Situation analysis; Applied ontologies
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