Estimating 3D Flow for Driver Assistance Applications

Authors:
Jorge A. Sánchez;Reinhard Klette;Eduardo Destefanis
Affiliations:
Facultad Regional Córdoba, Universidad Tecnológica Nacional, Cordoba, Argentina;The .enpeda.. Project, The University of Auckland, Auckland, New Zealand;Facultad Regional Córdoba, Universidad Tecnológica Nacional, Cordoba, Argentina
Venue:
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Year:
2009

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Abstract

This paper proposes a technique for estimating 3D flow vectors, by combining a KLT tracker with subsequent scale-space analysis of tracked points. A tracked point defines a 2D vector, which is mapped into 3D space based on ratios of maxima of scale-space characteristics. The approach is tested for night-vision sequences as recorded (at Daimler AG, Germany) for driver assistance projects. Those image sequences (at 25Hz) are characterized by being slightly blurry and of low contrast.