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David Geronimo, Angel Sappa, Antonio Lopez and Daniel Ponsa. 2007. Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection. 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 and Antonio Lopez. 2007. Vehicle Trajectory Estimation based on Monocular Vision. 3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477.587–594.
Keywords: vehicle detection
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Angel Sappa and Boris X. Vintimilla. 2006. Edge Point Linking by Means of Global and Local Schemes. IEEE Int. Conf. on Signal-Image Technology and Internet-Based Systems, Hammamet, Tunisia, December 2006, pp. 551-560..
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Carme Julia, Angel Sappa, Felipe Lumbreras, Joan Serrat and Antonio Lopez. 2006. An Iterative Multiresolution Scheme for SFM. International Conference on Image Analysis and Recognition.804–815.
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Angel Sappa, David Geronimo, Fadi Dornaika and Antonio Lopez. 2006. Real Time Vehicle Pose Using On-Board Stereo Vision System. International Conference on Image Analysis and Recognition.205–216.
Abstract: This paper presents a robust technique for a real time estimation of both camera’s position and orientation—referred as pose. A commercial stereo vision system is used. Unlike previous approaches, it can be used either for urban or highway scenarios. The proposed technique consists of two stages. Initially, a compact 2D representation of the original 3D data points is computed. Then, a RANSAC based least squares approach is used for fitting a plane to the road. At the same time,
relative camera’s position and orientation are computed. The proposed technique is intended to be used on a driving assistance scheme for applications such as obstacle or pedestrian detection. Experimental results on urban environments with different road geometries are presented.
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Carme Julia, Angel Sappa, Felipe Lumbreras, Joan Serrat and Antonio Lopez. 2006. Factorization with Missing and Noisy Data. 6th International Conference on Computational Science.555–562.
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Angel Sappa and M.A. Garcia. 2004. Hierarchical Clustering of 3D Objects and its Application to Minimum Distance Computation. IEEE International Conference on Robotics & Automation, 5287–5292, New Orleans, LA (USA), ISBN: 0–7803–8232–3.
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Angel Sappa, Niki Aifanti, Sotiris Malassiotis and Michael G. Strintzis. 2003. Monocular 3D Human Body Reconstruction Towards Depth Augmentation of Television Sequences. IEEE International Conference on Image Processing, Barcelona, Spain, September 2003.325–328.
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Joan Serrat, Jordi Vitria and J. Pladellorens. 1991. Morphological Segmentation of Heart Scintigraphic image Sequences. Computer Assisted Radiology..
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A. Dupuy, Joan Serrat, Jordi Vitria and J. Pladellorens. 1991. Analysis of gammagraphic images by mathematical morphology. Pattern Recognition and image Analysis: IV Spanish Symposium of Pattern Recognition and image Analysis, World Scientific Pub..
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