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
Conference paper
Electronic Resource
English
MPP1.01 Vehicle Detection Fusing 2D Visual Features
British Library Conference Proceedings | 2004
|Fusing multiple 2D visual features for vehicle detection
IEEE | 2006
|Fusing Multiple 2D Visual Features for Vehicle Detection
British Library Conference Proceedings | 2006
|EMERGENCY VEHICLE DETECTION FUSING AUDIO AND VISUAL DATA
European Patent Office | 2022
|Fusing mixed visual features for human action recognition
Automotive engineering | 2013
|