Abstract
Recently, the IDS(Intrusion Detection System) with a use of a video camera is an important part of the home security systems which start gaining popularity. However, the video intruder detection has not been widely used in the home surveillance systems due to its unreliable performance in an environment with an abrupt change in illumination. In this study, an effective moving edge extraction algorithm from a sequential image is proposed. The proposed algorithm extracts edge segments from the current image and eliminates the background edge segments by matching them with reference edge list, which is updated at every frame, to find the moving edge segments. The test results show that it can detect the contour of a moving object in such a noisy environment as there is an abrupt change in illumination.
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© 2004 Springer-Verlag Berlin Heidelberg
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Ahn, Y., Ahn, K., Chae, O. (2004). Detection of Moving Objects Edges to Implement Home Security System in a Wireless Environment. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3043. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24707-4_117
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DOI: https://doi.org/10.1007/978-3-540-24707-4_117
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22054-1
Online ISBN: 978-3-540-24707-4
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