TRAFFIC SURVEILLANCE USING GABOR FILTER BANK AND KALMAN PREDICTOR

Mehmet Celenk, James Graham, Santosh Singh

2008

Abstract

This paper builds upon our earlier work by applying an optimized version of our non-linear scene prediction method to traffic surveillance video. As previously, a Gabor-filter bank has been selected as a primary detector for any changes in a given image sequence. The detected ROI (region of interest) in arbitrary motion is fed to a non-linear Kalman filter for predicting the next scene in time-varying video, which is subject to prediction error invalidation. Potential applications of this research are mainly in the areas of traffic control and monitoring, traffic flow surveillance, and MPEG video-compression. The reported experimental results show improved performance over the non-linear Kalman filtering based scene prediction results in our previous work. The low least mean square error (LMSE), on the average of about 2 to 3 % remains close to the average reported in our earlier work, however, the fluctuations in error have disappeared, proving the reliability of the approach to traffic-motion prediction.

Paper Citation

in Harvard Style

Celenk M., Graham J. and Singh S. (2008). TRAFFIC SURVEILLANCE USING GABOR FILTER BANK AND KALMAN PREDICTOR . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 619-622. DOI: 10.5220/0001070506190622

in Bibtex Style

@conference{visapp08,
author={Mehmet Celenk and James Graham and Santosh Singh},
title={TRAFFIC SURVEILLANCE USING GABOR FILTER BANK AND KALMAN PREDICTOR},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={619-622},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001070506190622},
isbn={978-989-8111-21-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - TRAFFIC SURVEILLANCE USING GABOR FILTER BANK AND KALMAN PREDICTOR
SN - 978-989-8111-21-0
AU - Celenk M.
AU - Graham J.
AU - Singh S.
PY - 2008
SP - 619
EP - 622
DO - 10.5220/0001070506190622