Abstract
Extracting moving objects from their background or partitioning them have been one of the most prerequisite tasks for various computer vision applications such as surveillance, tracking, human machine interface, etc. Though many previous approaches have been working in a certain level, still they are not robust under various unexpected situation such as large illumination change. In this paper, we propose a motion segmentation method based on our robust illumination invariant optical flow estimation. We present the superiority of our motion estimation method with synthesized images and improved segmentation results with real images.
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© 2011 Springer-Verlag Berlin Heidelberg
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Kim, Y., Yi, S. (2011). Illumination Invariant Motion Estimation and Segmentation. In: Kim, Th., et al. Multimedia, Computer Graphics and Broadcasting. MulGraB 2011. Communications in Computer and Information Science, vol 263. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27186-1_10
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DOI: https://doi.org/10.1007/978-3-642-27186-1_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27185-4
Online ISBN: 978-3-642-27186-1
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