Title
Research on shadow elimination in intelligent traffic monitoring
Abstract
In road monitoring and traffic analysis systems, we usually utilize video technique to extract, manage, and track targets in the entire scene. However, due to the emergence of shadow, especially the moving shadow, which can result in error in correctly positioning, measuring, and detecting the moving targets. This article proposes a shadow elimination method based on the combination of statistics information and texture feature. According to a lot of traffic images, the range of shadow gray value of traffic road and the range of difference between shadow and background are counted as a threshold. Combining the threshold with LBP histogram, the shadow is segmented and eliminated. In the shadow elimination process, we utilize parallel computing, which can divide the image into parts and deal with them at the same time, shortening the processing time. Compared with the traditional methods, the proposed method improves the processing speed and accuracy greatly. It's helpful to the real-time detection and tracking of moving objects in intelligent traffic monitoring systems.
Year
DOI
Venue
2012
10.1109/ICMLC.2012.6359561
ICMLC
Keywords
Field
DocType
parallel processing,video signal processing,traffic images,shadow elimination method,intelligent traffic monitoring systems,road traffic shadow gray value,moving objects tracking,moving target measurement,lbp histogram,parallel computing,computerised monitoring,shadow segmentation,road traffic analysis systems,target extraction,moving target detection,real-time detection,lbp,feature extraction,object tracking,texture feature,video technique,statistics information,object detection,road traffic,processing time shortening,intelligent road traffic monitoring,statistics information combination,moving target positioning,shadow elimination,gray scale
Histogram,Object detection,Computer vision,Shadow,Traffic analysis,Monitoring system,Computer science,Feature extraction,Video tracking,Artificial intelligence,Process of elimination
Conference
Volume
ISSN
ISBN
4
2160-133X
978-1-4673-1484-8
Citations 
PageRank 
References 
1
0.38
2
Authors
3
Name
Order
Citations
PageRank
Juntao Xue131.79
Long-Yun Hui210.38
Shao-Fang Xing310.72