Abstract
This paper proposes a new method to extract moving objects from a color video sequence. The proposed method is robust to both noise and intensity changes in the observed image. A present background image is estimated by generating conversion tables from the original background image to the present image. Then, the moving object region is extracted by background subtraction. Using color gives more accurate detection than a previous method which used only monochrome data. Color images increase the computational load. The method addresses this problem by using the GPU’s throughput. Results are demonstrated with experiments on real data.
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© 2006 Springer-Verlag Berlin Heidelberg
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Fukui, S., Iwahori, Y., Itoh, H., Kawanaka, H., Woodham, R.J. (2006). Robust Background Subtraction for Quick Illumination Changes. In: Chang, LW., Lie, WN. (eds) Advances in Image and Video Technology. PSIVT 2006. Lecture Notes in Computer Science, vol 4319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949534_126
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DOI: https://doi.org/10.1007/11949534_126
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68297-4
Online ISBN: 978-3-540-68298-1
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