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Angel Sappa. 2006. Splitting up Panoramic Range Images into Compact 2½D Representations.
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Angel Sappa. 2006. Unsupervised Contour Closure Algorithm for Range Image Edge-Based Segmentation.
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Angel Sappa and M.A. Garcia. 2007. Incremental Integration of Multiresolution Range Images.
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Angel Sappa and M.A. Garcia. 2007. Coarse-to-Fine Approximation of Range Images with Bounded Error Adaptive Triangular Meshes.
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Angel Sappa and M.A. Garcia. 2007. Generating compact representations of static scenes by means of 3D object hierarchies.
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A. Restrepo, Angel Sappa and M. Devy. 2005. Edge registration versus triangular mesh registration, a comparative study.
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J. Pladellorens, M.J. Yzuel, J. Castell and Joan Serrat. 1993. Calculo automatico del volumen del ventriculo izquierdo. Comparacion con expertos..
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A. Pujol, Jordi Vitria, Felipe Lumbreras and Juan J. Villanueva. 2001. Topological principal component analysis for face encoding and recognition. PRL, 22(6-7), 769–776.
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Daniel Ponsa, Joan Serrat and Antonio Lopez. 2011. On-board image-based vehicle detection and tracking. TIM, 33(7), 783–805.
Abstract: In this paper we present a computer vision system for daytime vehicle detection and localization, an essential step in the development of several types of advanced driver assistance systems. It has a reduced processing time and high accuracy thanks to the combination of vehicle detection with lane-markings estimation and temporal tracking of both vehicles and lane markings. Concerning vehicle detection, our main contribution is a frame scanning process that inspects images according to the geometry of image formation, and with an Adaboost-based detector that is robust to the variability in the different vehicle types (car, van, truck) and lighting conditions. In addition, we propose a new method to estimate the most likely three-dimensional locations of vehicles on the road ahead. With regards to the lane-markings estimation component, we have two main contributions. First, we employ a different image feature to the other commonly used edges: we use ridges, which are better suited to this problem. Second, we adapt RANSAC, a generic robust estimation method, to fit a parametric model of a pair of lane markings to the image features. We qualitatively assess our vehicle detection system in sequences captured on several road types and under very different lighting conditions. The processed videos are available on a web page associated with this paper. A quantitative evaluation of the system has shown quite accurate results (a low number of false positives and negatives) at a reasonable computation time.
Keywords: vehicle detection
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J. Pladellorens, Joan Serrat, A. Castell and M.J. Yzuel. 1993. Using mathematical morphology to determine left ventricular contours..
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