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.
Vehicle detection fusing 2D visual features
2004-01-01
705334 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
MPP1.01 Vehicle Detection Fusing 2D Visual Features
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