USING THE DISCRETE HADAMARD TRANSFORM TO DETECT MOVING OBJECTS IN SURVEILLANCE VIDEO

Chanyul Kim, Noel E.O'Connor

2009

Abstract

In this paper we present an approach to object detection in surveillance video based on detecting moving edges using the Hadamard transform. The proposed method is characterized by robustness to illumination changes and ghosting effects and provides high speed detection, making it particularly suitable for surveillance applications. In addition to presenting an approach to moving edge detection using the Hadamard transform, we introduce two measures to track edge history, Pixel Bit Mask Difference (PBMD) and History Update Value (HUV) that help reduce the false detections commonly experienced by approaches based on moving edges. Experimental results show that the proposed algorithm overcomes the traditional drawbacks of frame differencing and outperforms existing edge-based approaches in terms of both detection results and computational complexity.

Paper Citation

in Harvard Style

Kim C. and E.O'Connor N. (2009). USING THE DISCRETE HADAMARD TRANSFORM TO DETECT MOVING OBJECTS IN SURVEILLANCE VIDEO . 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 512-518. DOI: 10.5220/0001800205120518

in Bibtex Style

@conference{visapp09,
author={Chanyul Kim and Noel E.O'Connor},
title={USING THE DISCRETE HADAMARD TRANSFORM TO DETECT MOVING OBJECTS IN SURVEILLANCE VIDEO},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={512-518},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001800205120518},
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 - USING THE DISCRETE HADAMARD TRANSFORM TO DETECT MOVING OBJECTS IN SURVEILLANCE VIDEO
SN - 978-989-8111-69-2
AU - Kim C.
AU - E.O'Connor N.
PY - 2009
SP - 512
EP - 518
DO - 10.5220/0001800205120518