Abstract
Segmentation of motion in an image sequence is one of the most challenging problems in image processing, while at the same time one that finds numerous applications. In this paper, we propose a robust multi-layer background subtraction technique which takes advantages of local texture features represented by local binary patterns (LBP) and photometric invariant color measurements in RGB color space. Due to the use of a simple layer-based strategy, the approach can model moving background pixels with quasiperiodic flickering as well as background scenes which may vary over time due to the addition and removal of long-time stationary objects. The use of a cross-bilateral filter allows to implicitly smooth detection results over regions of similar intensity and preserve object boundaries.
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Ma, W. (2012). Multi-layer Background Subtraction Based on Multiple Motion Segmentation in Sport Image. In: Jin, D., Lin, S. (eds) Advances in Computer Science and Information Engineering. Advances in Intelligent and Soft Computing, vol 168. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30126-1_86
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DOI: https://doi.org/10.1007/978-3-642-30126-1_86
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30125-4
Online ISBN: 978-3-642-30126-1
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