A study on traffic parameter extraction from image deterctor at intersection
Date Issued
2008
Date
2008
Author(s)
Chen, Yen-Cheng
Abstract
Intersection Monitoring and data collection are very important issue to traffic. In recent year, more and more people research how to develop an image detector system to collect traffic parameters such as traffic flow, speed etc. To obtain these traffic parameters can improve urban traffic by optimizing signal at intersection. The research of image detector on highway had been developed maturely that can extract traffic parameter with high accurate rate. However, the researches about data collection at intersection are few. Because intersection is more complex than highway, vehicle is difficult to be tracked well at intersection. A system that can be applied at intersection has to be developed. In Taiwan, motorcycle occupies numerous percentages of vehicles. Because of some characteristics of it, motorcycles are difficult to detect at intersection. It becomes a challenge for image detector system to have reliable ability of vehicle detection. In this thesis, a system which has reliable detection ability and robust algorithm on real time for data collection is necessary. After testing this system, average accurate rate of it can reach more than 80%.
Subjects
vehicle extraction
dynamic threshold
shadow removal
occlusion resolution vehicle tracking
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-97-R95521520-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):c3488d45f8b3c74e16a86f809ab0c40c