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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, 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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Fadi Dornaika, & Bogdan Raducanu. (2007). Efficient Facial Expression Recognition for Human Robot Interaction. In Computational and Ambient Intelligence, 9th International Work–Conference on Artificial Neural Networks (Vol. 4507, 700–708). LNCS.
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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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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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Angel Sappa, & M.A. Garcia. (2007). Coarse-to-Fine Approximation of Range Images with Bounded Error Adaptive Triangular Meshes. Journal of Electronic Imaging, 16(2), 023010(11 pages).
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Angel Sappa, & Boris X. Vintimilla. (2007). Cost-Based Closed Contour Representations. Journal of Electronic Imaging, 16(2), 023009 (9 pages).
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David Geronimo, Antonio Lopez, & 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 (Vol. 1, 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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