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Ivan Huerta, Dani Rowe, Mikhail Mozerov, & Jordi Gonzalez. (2007). Improving Background Subtraction based on a Casuistry of Colour-Motion Segmentation Problems. In 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4478:475–482.
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Daniel Ponsa, & Antonio Lopez. (2007). Vehicle Trajectory Estimation based on Monocular Vision. In 3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477 (pp. 587–594).
Keywords: vehicle detection
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David Geronimo, Angel Sappa, Antonio Lopez, & Daniel Ponsa. (2007). Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection. In Proceedings of the 5th International Conference on Computer Vision Systems.
Abstract: On–board pedestrian detection is in the frontier of the state–of–the–art since it implies processing outdoor scenarios from a mobile platform and searching for aspect–changing objects in cluttered urban environments. Most promising approaches include the development of classifiers based on feature selection and machine learning. However, they use a large number of features which compromises real–time. Thus, methods for running the classifiers in only a few image windows must be provided. In this paper we contribute in both aspects, proposing a camera
pose estimation method for adaptive sparse image sampling, as well as a classifier for pedestrian detection based on Haar wavelets and edge orientation histograms as features and AdaBoost as learning machine. Both proposals are compared with relevant approaches in the literature, showing comparable results but reducing processing time by four for the sampling tasks and by ten for the classification one.
Keywords: Pedestrian Detection
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Daniel Ponsa, & Antonio Lopez. (2007). Feature Selection Based on a New Formulation of the Minimal-Redundancy-Maximal-Relevance Criterion. In 3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477 (pp. 47–54).
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Miquel Ferrer, Ernest Valveny, & F. Serratosa. (2007). Bounding the Size Of the Median Graph. In 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4478(2):491–498.
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Miquel Ferrer, Ernest Valveny, & F. Serratosa. (2007). Comparison Between two Spectral-based Methods for Median Graph Computation. In 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2007), J. Marti et al. (Eds.) LNCS 4478(2):580–587.
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Miquel Ferrer, F. Serratosa, & Ernest Valveny. (2007). On the Relation Between the Median Graph and the Maximum Common Subgraph of a Set of Graphs..
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Bogdan Raducanu, & Jordi Vitria. (2007). Online Learning for Human-Robot Interaction. In IEEE Conference on Computer Vision and Pattern Recognition Workshop on.
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Elvina Motard, Bogdan Raducanu, Viviane Cadenat, & Jordi Vitria. (2007). Incremental On-Line Topological Map Learning for A Visual Homing Application. In IEEE International Conference on Robotics and Automation (2049–2054).
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Matthias S. Keil, & Jordi Vitria. (2007). Pushing it to the Limit: Adaptation with Dynamically Switching Gain Control. EURASIP Journal on Advances in Signal Processing, Vol 2007, Article ID 51684, 10 pages, doi: 10.1155/2007/51684.
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Jordi Vitria, M. Bressan, & Petia Radeva. (2007). Bayesian classification of cork stoppers using class-conditional independent component analysis. IEEE Transactions on Systems, Man and Cybernetics (Part C), 37(1): 32–38 (ISI 0,482).
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Hugo Berti, Angel Sappa, & Osvaldo Agamennoni. (2007). Autonomous robot navigation with a global and asymptotic convergence. In IEEE International Conference on Robotics and Automation (2712–2717).
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Angel Sappa, David Geronimo, Fadi Dornaika, & Antonio Lopez. (2007). Stereo Vision Camera Pose Estimation for On-Board Applications. In Scene Reconstruction, Pose Estimation and Traking (pp. 39–50). Rustam Stolking.
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Angel Sappa, & M.A. Garcia. (2007). Generating compact representations of static scenes by means of 3D object hierarchies. The Visual Computer, 23(2): 143–154.
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Fadi Dornaika, & Bogdan Raducanu. (2006). Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme.
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