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Daniel Ponsa, Joan Serrat, & Antonio Lopez. (2011). On-board image-based vehicle detection and tracking. TIM - Transactions of the Institute of Measurement and Control, 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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Daniel Ponsa, A.F. Sole, Antonio Lopez, Cristina Cañero, Petia Radeva, & Jordi Vitria. (2000). Regularized EM..
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Daniel Ponsa, A.F. Sole, Antonio Lopez, Cristina Cañero, Petia Radeva, & Jordi Vitria. (1999). Regularized EM.
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J. Pladellorens, Joan Serrat, A. Castell, & M.J. Yzuel. (1993). Using mathematical morphology to determine left ventricular contours. Physics in Medicine and Biology., 1877––1894.
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Daniel Ponsa, Robert Benavente, Felipe Lumbreras, Judit Martinez, & Xavier Roca. (2003). Quality control of safety belts by machine vision inspection for real-time production. Optical Engineering (IF: 0.877), 42(4), 1114–1120.
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Daniel Ponsa, & Xavier Roca. (2003). Multiple Model Approach to Deformable Shape Tracking.
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Daniel Ponsa, & Xavier Roca. (2002). Unsupervised Parameterisation of Gaussian Mixture Models.
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Daniel Ponsa, & Xavier Roca. (2002). A Novel Approach to Generate Multiple Shape Models..
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Daniel Ponsa. (2007). Model-Based Visual Localisation of Contours and Vehicles (Antonio Lopez, & Xavier Roca, Eds.). Ph.D. thesis, Ediciones Graficas Rey, .
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Daniel Ponsa. (2001). A model based pedestrian tracking review.
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Daniel Ponsa, & Antonio Lopez. (2009). Seguimiento Visual de Contornos Computerizado.
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Daniel Ponsa, & Antonio Lopez. (2009). Variance reduction techniques in particle-based visual contour Tracking. PR - Pattern Recognition, 42(11), 2372–2391.
Abstract: This paper presents a comparative study of three different strategies to improve the performance of particle filters, in the context of visual contour tracking: the unscented particle filter, the Rao-Blackwellized particle filter, and the partitioned sampling technique. The tracking problem analyzed is the joint estimation of the global and local transformation of the outline of a given target, represented following the active shape model approach. The main contributions of the paper are the novel adaptations of the considered techniques on this generic problem, and the quantitative assessment of their performance in extensive experimental work done.
Keywords: Contour tracking; Active shape models; Kalman filter; Particle filter; Importance sampling; Unscented particle filter; Rao-Blackwellization; Partitioned sampling
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Daniel Ponsa, & Antonio Lopez. (2007). Cascade of Classifiers for Vehicle Detection. In Advanced Concepts for Intelligent Vision Systems, LNCS 4678, volume 1, pp. 980–989.
Keywords: vehicle 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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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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