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Vehicle detection fusing 2D visual features

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3 Author(s)
Hoffman, C. ; Inst. fur Mess- und Regelungstech., Karlsruhe Univ., Germany ; Dang, T. ; Stiller, C.

This paper presents a method for detection and tracking of vehicles by finding various characteristic features in the images of a monochrome camera. The detection process uses shadow and symmetry features to generate vehicle hypotheses. These are fused and tracked over time using an Interacting Multiple Model method (IMM). Results for natural traffic scenes demonstrate high reliability of the proposed method.

Published in:

Intelligent Vehicles Symposium, 2004 IEEE

Date of Conference:

14-17 June 2004