2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 2007
DOI: 10.1109/icassp.2007.366102
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QR Decomposition-Based Algorithm for Background Subtraction

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Cited by 10 publications
(15 citation statements)
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“…In this section we first briefly discuss our QR decomposition algorithm for background modeling [8]. Then we propose its online version and the hybrid algorithm of QR decomposition background modeling and the MoG method.…”
Section: The Proposed Methodsmentioning
confidence: 99%
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“…In this section we first briefly discuss our QR decomposition algorithm for background modeling [8]. Then we propose its online version and the hybrid algorithm of QR decomposition background modeling and the MoG method.…”
Section: The Proposed Methodsmentioning
confidence: 99%
“…In [8] we presented a background modeling algorithm based on the assumption that each small block in the image would reveal the background for at least a short interval of the sequence, and this short interval must be longer than any foreground interval. This is a usual case in a road situation.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Another approach proposed by Amintoosi et al [82] consists in a QRdecomposition based algorithm. To be more robust when large parts of the background are occluded by moving objects and parts of the background are never seen, Lepisk [83] proposes to use the optic flow to reason about if the background has been seen or not.…”
Section: Initialization Of the Weight The Mean And The Variancementioning
confidence: 99%
“…Auto Gain Control [67] Auto White Balance [68] Automatic Exposure Correction [69] Gradual Illumination Changes (TD) [1, 24, 38, 63, 70-73, 74, 75] Sudden Illumination Changes (LS) [24,61,63,65,67,68,70,71,[74][75][76][77][78][79][80][81] Bootstrapping during initialization (B) [59,82,83] Bootstrapping during running (B) [84 -88] Camouflage (C) [42,72,73,[88][89][90][91][92] Foreground Aperture (FA) [93] Moved background objects (MBO) [60, 63, 70, 74, 75, 80 ,85, 87, 88] Inserted background objects (IBO) [60,63,70,74,75,85,87,88] Multimodal background (MB) [ …”
Section: Critical Situations Referencesmentioning
confidence: 99%