Paper Info
Title
An Enhanced Background Estimation Algorithm for Vehicle Detection in Urban Traffic Video
Abstract
This paper proposes an enhanced version of the sigma delta background estimation method, suitable for urban traffic scenes. In the original algorithm, the background model quickly degrades in such complex scenes, being easily contaminated by slow moving or temporarily stopped vehicles. Some heuristics have been added to the basic algorithm in order to make a selective background model updating at the pixel level. Experimental tests made over typical urban traffic streams prove the validity of the proposed enhanced version.
Year
DOI
Venue
2008
10.1109/ITSC.2008.4732541
ITSC
Keywords
Field
DocType
filtering theory,object detection,road traffic,road vehicles,video signal processing,enhanced background estimation method,moving vehicle detection,sigma delta filter,urban traffic video,background estimation,sigma-delta filter,urban environments,vehicle detection,intelligent transportation systems,mathematical models,algorithms
Road traffic,Delta-sigma modulation,Heuristics,Artificial intelligence,Mathematical model,Computer vision,Object detection,Simulation,Algorithm,Vehicle detection,Pixel,Engineering,Intelligent transportation system
Conference
ISBN
Citations 
PageRank 
978-1-4244-2112-1
4
0.46
References 
Authors
22
4
Name
Order
Citations
PageRank
Manuel Vargas1264.90
Toral, S.L.2392.98
Federico Barrero344442.44
Milla, J.M.440.46