Omni-Directional Camera for Traffic Surveillance
Date Issued
2008
Date
2008
Author(s)
Chen, Shin-Ming
Abstract
A vision-based system for vehicle detection and tracking in video streams is an important research in computer vision. It also plays an important role in ITS (Intelligent Transportation Systems). Mounting high omni-directional camera allows the omni-directional camera to cover a wider area. Motion detection aims to capture the changed region from the omni-directional video image sequences and build a background image. In this paper, a multiple-vehicle counting and tracking framework for intersection traffic surveillance is proposed. In order to accurately locate vehicles, we use Kalman filter to correct vehicle trajectories. According to our experimental results, our approaches can analyze the vehicles at intersection efficiently.
Subjects
computer vision
traffic surveillance
vehicle tracking
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-97-R95922159-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):548b51d3fe5b0dbcc07ca3f1278d9352