2005 | OriginalPaper | Buchkapitel
Multi-resolution Image Analysis for Vehicle Detection
verfasst von : Cristina Hilario, Juan Manuel Collado, José Maria Armingol, Arturo de la Escalera
Erschienen in: Pattern Recognition and Image Analysis
Verlag: Springer Berlin Heidelberg
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Computer Vision can provide a great deal of assistance to Intelligent Vehicles. In this paper an Advanced Driver Assistance Systems for Vehicle Detection is presented. A geometric model of the vehicle is defined where its energy function includes information of the shape and symmetry of the vehicle and the shadow it produces. A genetic algorithm finds the optimum parameter values. As the algorithm receives information from a road detection module some geometric restrictions can be applied. A multi-resolution approach is used to speed up the algorithm and work in realtime. Examples of real images are shown to validate the algorithm.