Open AccessDual‐rate background subtraction approach for estimating traffic queue parameters in urban scenes
Author(s) -
Milla Jose M.,
Toral Sergio L.,
Vargas Manuel,
Barrero Federico J.
Publication year - 2013
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2012.0020
Subject(s) - queue , background subtraction , computer science , dual (grammatical number) , queueing theory , subtraction , real time computing , artificial intelligence , computer vision , transport engineering , mathematics , engineering , computer network , pixel , arithmetic , art , literature
This study proposes traffic queue‐parameter estimation based on background subtraction, by means of an appropriate combination of two background models: a short‐term model, very sensitive to moving vehicles, and a long‐term model capable of retaining as foreground temporarily stopped vehicles at intersections or traffic lights. Experimental results in typical urban scenes demonstrate the suitability of the proposed approach. Its main advantage is the low computational cost, avoiding specific motion detection algorithms or post‐processing operations after foreground vehicle detection.