Title
Improved tracking of multiple vehicles using invariant feature-based matching
Abstract
In case of monitoring road traffic, the image based monitoring system is more useful than any other system such as GPS or loop detector because it can give the whole picture of the two-dimensional traffic situation. The idea of this paper is that the quad-tree scheme segments MBR following from the background subtraction process. Then the segmented and detected vehicle regions, ROIs, are tracked by SIFT algorithm. Our method succeeded detecting and tracking multiple moving vehicles accurately in sequence frame. The proposed method is very useful for the video based applications such as automatic traffic monitoring system.
Year
DOI
Venue
2007
10.1007/978-3-540-77046-6_80
PReMI
Keywords
Field
DocType
invariant feature-based matching,sift algorithm,multiple vehicle,two-dimensional traffic situation,vehicle region,automatic traffic monitoring system,background subtraction process,improved tracking,quad-tree scheme segment,loop detector,road traffic,sequence frame,background subtraction
Background subtraction,Computer vision,Scale-invariant feature transform,Invariant feature,Pattern recognition,Monitoring system,Computer science,Image based,Road traffic,Artificial intelligence,Global Positioning System,Loop detector
Conference
Volume
ISSN
ISBN
4815
0302-9743
3-540-77045-3
Citations 
PageRank 
References 
1
0.36
8
Authors
3
Name
Order
Citations
PageRank
Jae-Young Choi1783110.19
Jin-Woo Choi263.11
Young-Kyu Yang36310.73