Abstract
This paper presents an edge extraction based automatic algorithm for detection of moving objects that have been specially developed to deal with the variations in illumination and background. We develop an efficient approach for background edge generation as well as update and robust method of edge matching that is able to effectively reduce the risk of false alarm. The proposed method can be successfully realized in various monitoring systems like intrusion detection as well as video surveillance. Experiments with real image sequences are presented, along with comparisons with some other existing methods, illustrating the advantages of the proposed algorithm.
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© 2005 Springer-Verlag Berlin Heidelberg
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Hossain, M.J., Ahn, K., Lee, J.H., Chae, O. (2005). Moving Object Detection in Dynamic Environment. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_50
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DOI: https://doi.org/10.1007/11554028_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28897-8
Online ISBN: 978-3-540-31997-9
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