Vehicle detection fusing 2D visual features

8 November 2004

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 280-285
https://doi.org/10.1109/ivs.2004.1336395

Abstract

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.

Keywords

VEHICLE DETECTION
VEHICLES
CAMERAS
LAYOUT
FILTERS
COMPUTER VISION
FEATURE EXTRACTION
MODEMS
SENSOR PHENOMENA AND CHARACTERIZATION
IMAGE SEQUENCES

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