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Pyramidal image analysis for vehicle detection

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4 Author(s)
C. H. Hilario ; Dept. of Syst. Eng. & Automation, Univ. Carlos III de Madrid, Leganes, Spain ; J. M. Collado ; J. M. Armingol ; A. de la Escalera

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 real-time. Examples of real images are shown to validate the algorithm.

Published in:

IEEE Proceedings. Intelligent Vehicles Symposium, 2005.

Date of Conference:

6-8 June 2005