CHANGE DETECTION AND BACKGROUND UPDATE THROUGH STATISTIC SEGMENTATION FOR TRAFFIC MONITORING

T. Alexandropoulos, V. Loumos, E. Kayafas

Abstract

Recent advances in computer imaging have led to the emergence of video-based surveillance as a monitoring solution in Intelligent Transportation Systems (ITS). The deployment of CCTV infrastructure in highway scenes facilitates the evaluation of traffic conditions. However, the majority of video-based ITS are restricted to manual assessment and lack the ability to support automatic event notification. This is due to the fact that, the effective operation of intelligent traffic management relies strongly on the performance of an image processing front end, which performs change detection and background update. Each one of these tasks needs to cope with specific challenges. Change detection is required to perform the effective isolation of content changes from noise-level fluctuations, while background update needs to adapt to time-varying lighting variations, without incorporating stationary occlusions to the background. This paper presents the operation principle of a video-based ITS front end. A block-based statistic segmentation method for feature extraction in highway scenes is analyzed. The presented segmentation algorithm focuses on the estimation of the noise model. The extracted noise model is utilized in change detection in order to separate content changes from noise fluctuations. Additionally, a statistic background estimation method, which adapts to gradual illumination variations, is presented.

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Paper Citation


in Harvard Style

Alexandropoulos T., Loumos V. and Kayafas E. (2007). CHANGE DETECTION AND BACKGROUND UPDATE THROUGH STATISTIC SEGMENTATION FOR TRAFFIC MONITORING . In Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007) ISBN 978-989-8111-13-5, pages 257-264. DOI: 10.5220/0002134802570264


in Bibtex Style

@conference{sigmap07,
author={T. Alexandropoulos and V. Loumos and E. Kayafas},
title={CHANGE DETECTION AND BACKGROUND UPDATE THROUGH STATISTIC SEGMENTATION FOR TRAFFIC MONITORING},
booktitle={Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)},
year={2007},
pages={257-264},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002134802570264},
isbn={978-989-8111-13-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2007)
TI - CHANGE DETECTION AND BACKGROUND UPDATE THROUGH STATISTIC SEGMENTATION FOR TRAFFIC MONITORING
SN - 978-989-8111-13-5
AU - Alexandropoulos T.
AU - Loumos V.
AU - Kayafas E.
PY - 2007
SP - 257
EP - 264
DO - 10.5220/0002134802570264