Affordable Access

Access to the full text

Image-based approach for detecting vehicles in user-defined virtual inductive loops

Authors
  • Gomes, Vitor1
  • Barcellos, Pablo1
  • Scharcanski, Jacob1
  • 1 Federal University of Rio Grande do Sul, Brazil , (Brazil)
Type
Published Article
Journal
Journal of Electronic Imaging
Publisher
Society of Photo-Optical Instrumentation Engineers
Publication Date
May 01, 2018
Volume
27
Issue
3
Pages
33026–33026
Identifiers
DOI: 10.1117/1.JEI.27.3.033026
Source
SPIE
Keywords
Disciplines
  • Paper
License
Yellow

Abstract

A camera-based scheme is proposed for detecting vehicles at user-defined virtual loops, simulating the operation of inductive loops. False vehicular detections are minimized by a combination of efficient edge detection and color information. The experimental results suggest that the proposed scheme potentially can detect and count vehicles at user-defined virtual loops accurately (with more than 98% correct detection rate, in average), besides being more robust to cast shadows and sudden illumination changes than comparable methods that represent the state of the art.

Report this publication

Statistics

Seen <100 times