A REAL-TIME TRACKING SYSTEM FOR TAILGATING BEHAVIOR DETECTION

Yingxiang Zhang, Qiang Chen, Yuncai Liu

Abstract

It is a challenging problem to detect human and recognize their behaviors in video sequence due to the variations of background and the uncertainty of pose, appearance and motion. In this paper, we propose a systematic method to detect the behavior of tailgating. Firstly, in order to make the tracking process robust in complex situation, we propose an improved Gaussian Mixture Model (IGMM) for background and combine the Deterministic Nonmodel-Based approach with Gaussian Mixture Shadow Model (GMSM) to remove shadows. Secondly, we have developed an algorithm of object tracking by establishing tracking strategy and computing the similarity of color histograms. Having known door position in the scene, we specify tailgating behavior definition to detect tailgater. Experiments show that our system is robust in complex environment, cost-effective in computation and practical in real-time application.

References

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Paper Citation


in Harvard Style

Zhang Y., Chen Q. and Liu Y. (2009). A REAL-TIME TRACKING SYSTEM FOR TAILGATING BEHAVIOR DETECTION . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 398-402. DOI: 10.5220/0001665703980402


in Bibtex Style

@conference{visapp09,
author={Yingxiang Zhang and Qiang Chen and Yuncai Liu},
title={A REAL-TIME TRACKING SYSTEM FOR TAILGATING BEHAVIOR DETECTION},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={398-402},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001665703980402},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - A REAL-TIME TRACKING SYSTEM FOR TAILGATING BEHAVIOR DETECTION
SN - 978-989-8111-69-2
AU - Zhang Y.
AU - Chen Q.
AU - Liu Y.
PY - 2009
SP - 398
EP - 402
DO - 10.5220/0001665703980402