Traffic Flow Measurement Considering Occlusion

Abstract

A traffic problem, such as a traffic accident, traffic congestion and environmental pollution, are serious social issues with the increase in vehicle ownership ratio. As a measure, practical application of system which provides a driver with useful information is desired. In connection with such a background, the trial in which the automated surveillance system of a traffic state and an obstacle using image processing technol ogy is made. This research proposes the traffic flow measurement technique using image sequences taken by a CCD camera mounted on the footbridge. We perform vehicles detection using adaptive background differ ence processing, and vehicles tracking using the concept of a deformable template matching and a tracking cycle to provide solution to vehicles occlusion. Eventually, the traffic parameter called a traffic volume, a speed, and a space occupancy is computed. In the experimental result, the accuracy and the efficiency of our approach is shown.

Vehicle segmentation by edge classification method and the S-T MRF model

“…However, image sensors have defects such as instability against environmental changes and occlusion problem. In order to solve the occlusion problem, related works have been done in [1] and [2]. However, neither is almighty to occlusion.…”

Measur ement and Identification of Moving Object Flow Using Digital Video Camer a

“…However, this method has a disadvantage that this method has extremely high labor costs and is associated with human measurement errors due long working hours using manual counting methods [1] . Therefore, researches on automatically measuring traffic flow based on video-recorded images are actively underway [2]- [6] .…”

“…In the existing researches using video recordings, measurement cannot be performed accurately at a time when the traffic flow is congested by the high overlapping of pedestrians [2] . To solve these problems, previous researches placed the camera for measurement high above the measurement area [3]- [5] .…”