Real-Time Traffic Information Collection Using Multiple Virtual Detection Lines

Abstract

ATIS(Advanced Traveler Information System) is the system to offer a real-time traffic information or traffic situation for the benefit of the client. One of traffic information collection methods for ATIS research is the method of image analysis. The method is divided into two : one is the method to set two loop detectors at the area and the other is the method detecting the vehicle through an image analysis. In this paper, we propose a real-time traffic information collection system to mix two methods. The system installs multiple virtual detection lines and traces the location of the vehicle. Use of multiple virtual detection lines supplements the defect of the method of loop detectors. And we drew a representative pixels in the detecting area and used it for image analysis. This is to solve the problem of time delay which increases as the image size increases. We gathered traffic images and experimented using the system and got 92.32% of detection accuracy.

Tracking of Multiple Vehicles Using Occlusion Segmentation Based on Spatio-Temporal Association

“…Vehicle tracking approaches can be classified by feature selection as follows: Region Based Tracking [5], [10], [13], Color Based Tracking [6], [11], [12] and Contour Based Tracking [7]- [9]. In Region Based Tracking, a background model is generated for an image.…”