Using the discrete hadamard transform to detect moving objects in surveillance video
Kim, Chanyul and O'Connor, Noel E. (2009) Using the discrete hadamard transform to detect moving objects in surveillance video. In: VISAPP 2009 - International Conference on Computer Vision Theory and Applications, 5-8 February 2009, Lisbon, Portugal. ISBN 978-989-8111-69-2
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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
(H UV ) 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
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