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 Xue | 1 | 3 | 1.79 |
Long-Yun Hui | 2 | 1 | 0.38 |
Shao-Fang Xing | 3 | 1 | 0.72 |