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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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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 (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 complexity.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Discrete Hadamard Transform; Moving object detection; Edge;
Subjects:Engineering > Signal processing
Computer Science > Video compression
Computer Science > Digital video
Computer Science > Algorithms
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Samsung Electronics, Science Foundation Ireland, SFI 07/CE/I1147
ID Code:2401
Deposited On:16 Feb 2009 10:45 by Hyowon Lee. Last Modified 29 Apr 2010 14:28

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