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Jordi Gonzalez, Javier Varona, Xavier Roca, & Juan J. Villanueva. (2003). A Human Action Comparison Framework for Motion Understanding.
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Jordi Gonzalez, Javier Varona, Xavier Roca, & Juan J. Villanueva. (2003). Automatic Keyframing of Human Actions for Computer Animation.
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Jordi Gonzalez, Javier Varona, Xavier Roca, & Juan J. Villanueva. (2003). A Human Action Comparison Framework for Motion Understanding.
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Jordi Gonzalez, Javier Varona, Xavier Roca, & Juan J. Villanueva. (2003). Human Sequence Evaluation: towards Knowledge-based Scene Interpretations.
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Javier Varona, Jordi Gonzalez, Xavier Roca, & Juan J. Villanueva. (2003). Appearance Tracking for Video Surveillance.
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Jordi Gonzalez, Javier Varona, Xavier Roca, & Juan J. Villanueva. (2004). Analysis of Human Walking Based on aSpaces.
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Jordi Gonzalez, Javier Varona, Xavier Roca, & Juan J. Villanueva. (2004). Situation Graph Trees for Human Behavior Modeling.
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Ignasi Rius, Dani Rowe, Jordi Gonzalez, & Xavier Roca. (2005). A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking. In Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3522: 529–536.
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Dani Rowe, Ignasi Rius, Jordi Gonzalez, Xavier Roca, & Juan J. Villanueva. (2005). Probabilistic Image-Based Tracking: Improving Particle Filtering. In Pattern Recognition and Image Analysis (IbPRIA 2005), LNCS 3522: 85–92.
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Ignasi Rius, Dani Rowe, Jordi Gonzalez, & Xavier Roca. (2005). 3D Action Modeling and Reconstruction for 2D Human Body Tracking.
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Jordi Gonzalez, Javier Varona, Xavier Roca, & Juan J. Villanueva. (2005). A Comparison Framework for Walking Performances using aSpaces. Electronic Letters on Computer Vision and Image Analysis, Special Issue on articulated Motion, 5(3):105–116 (Electronic Letters: IF: 1.016).
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V. Kober, Mikhail Mozerov, J. Alvarez-Borrego, & I.A. Ovseyevich. (2006). Adaptive Correlation Filters for Pattern Recognition. Pattern Recognition and Image Analysis, 425–431.
Abstract: Adaptive correlation filters based on synthetic discriminant functions (SDFs) for reliable pattern recognition are proposed. A given value of discrimination capability can be achieved by adapting a SDF filter to the input scene. This can be done by iterative training. Computer simulation results obtained with the proposed filters are compared with those of various correlation filters in terms of recognition performance.
Keywords: Pattern recognition, Correlation filters, A adaptive filters
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V. Kober, Mikhail Mozerov, J. Alvarez-Borrego, & I.A. Ovseyevich. (2006). Pattern Recognition of Fragmented Objects with Adaptive Correlation Filters.
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Mikhail Mozerov, V. Kober, & I.A. Ovseyevich. (2006). A Stereo Matching Algorithm with Global Smoothness Criterion.
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Mikhail Mozerov, & V. Kober. (2006). Impulse Noise Removal with Gradient Adaptive Neighborhoods. Optical Engineering, 45: 67003.
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