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Alex Goldhoorn, Arnau Ramisa, Ramon Lopez de Mantaras and Ricardo Toledo. 2007. Using the Average Landmark Vector Method for Robot Homing. Artificial Intelligence Research and Development, Proceedings of the 10th International Conference of the ACIA.331–338.
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Antonio Lopez, Joan Serrat, Cristina Cañero and Felipe Lumbreras. 2007. Robust Lane Lines Detection and Quantitative Assessment. In J. Marti et al, ed. 3rd Iberian Conference on Pattern Recognition and Image Analysis.274–281. (LNCS.)
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Joan Serrat, Ferran Diego, Felipe Lumbreras and Jose Manuel Alvarez. 2007. Synchronization of Video Sequences from Free-moving Cameras. In J. Marti et al., ed. 3rd Iberian Conference on Pattern Recognition and Image Analysis.620–627. (LNCS.)
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Joan Serrat, Ferran Diego, Jose Manuel Alvarez and Felipe Lumbreras. 2007. Alignment of Videos Recorded from Moving Vehicles. in 14th International Conference on Image Analysis and Processing,.512–517.
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Carme Julia, Angel Sappa, Felipe Lumbreras, Joan Serrat and Antonio Lopez. 2007. Motion Segmentation from Feature Trajectories with Missing Data. In J. Marti et al.(Eds.), ed. 3rd. Iberian Conference on Pattern Recognition and Image Analysis.483–490.
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Fadi Dornaika and Angel Sappa. 2007. Real-time Vehicle Ego-Motion using Stereo Pairs and Particle Filters. Int. Conf. on Image Analysis and Recognition,.469–480. (LNCS.)
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David Geronimo, Antonio Lopez, Daniel Ponsa and Angel Sappa. 2007. Haar Wavelets and Edge Orientation Histograms for On-Board Pedestrian Detection. In J. Marti et al., ed. 3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477.418–425.
Keywords: Pedestrian detection
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David Geronimo, Antonio Lopez and Angel Sappa. 2007. Computer Vision Approaches for Pedestrian Detection: Visible Spectrum Survey. In J. Marti et al., ed. 3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477.547–554.
Abstract: Pedestrian detection from images of the visible spectrum is a high relevant area of research given its potential impact in the design of pedestrian protection systems. There are many proposals in the literature but they lack a comparative viewpoint. According to this, in this paper we first propose a common framework where we fit the different approaches, and second we use this framework to provide a comparative point of view of the details of such different approaches, pointing out also the main challenges to be solved in the future. In summary, we expect
this survey to be useful for both novel and experienced researchers in the field. In the first case, as a clarifying snapshot of the state of the art; in the second, as a way to unveil trends and to take conclusions from the comparative study.
Keywords: Pedestrian detection
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Hugo Berti, Angel Sappa and Osvaldo Agamennoni. 2007. Autonomous robot navigation with a global and asymptotic convergence. IEEE International Conference on Robotics and Automation.2712–2717.
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Daniel Ponsa and Antonio Lopez. 2007. Feature Selection Based on a New Formulation of the Minimal-Redundancy-Maximal-Relevance Criterion. 3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477.47–54.
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