Abstract
It is well known that motion detection using single frame differencing, while computationally much simpler than other techniques, is more liable to generate large areas of false foregrounds known as ghosts. In order to overcome this problem the authors propose a method based on signed differencing and connectivity analysis. The proposal is suitable to applications which cannot afford the un-avoidable errors of background modeling or the limitations of 3-frames preprocessing.
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© 2006 Springer-Verlag Berlin Heidelberg
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Archetti, F., Manfredotti, C.E., Messina, V., Sorrenti, D.G. (2006). Foreground-to-Ghost Discrimination in Single-Difference Pre-processing. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2006. Lecture Notes in Computer Science, vol 4179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11864349_24
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DOI: https://doi.org/10.1007/11864349_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44630-9
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