DOI:​10.1109/ICPR.2016.7899619
Corpus ID: 8288914
Motion-Aware Graph Regularized RPCA for background modeling of complex scenes
S. Javed, S. Jung, +1 author T. Bouwmans
Published 2016
Mathematics, Computer Science

2016 23rd International Conference on Pattern Recognition (ICPR)
Computing a background model from a given sequence of video frames is a prerequisite for many computer vision applications. Recently, this problem has been posed as learning a low-dimensional… Expand
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34 Citations
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Figure 1
Table I
Algorithm
Optical flow
Computer vision
Motion estimation
Intra-frame coding
Zero suppression
Mathematical optimization
Locality of reference
Laplacian matrix
Match moving
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A self-motion-assisted tensor completion method is proposed to overcome the limitations of SS-SVD in complex video sequences and enhance the visual appearance of the initialized background. Expand
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LaB Gen-P-Semantic is developed, a variant of LaBGen-P, the motion detection step of which is built on the current frame only by using semantic segmentation, which improves the robustness against intermittent motions, background motions and very short video sequences, which are among the main challenges in the background generation field. Expand
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Dynamic Spatial Predicted Background
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Unsupervised deep context prediction for background estimation and foreground segmentation
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