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In terms of intensity images, many motion detection methods are based on background modeling.
A flowchart for the object detection method is shown in Figure 1. Figure 1 Flowchart for the moving object detection based on background modeling.
In order to perform low power motion detection in CIS, other methods based on background modeling have been proposed.
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Because the different model specifications gave similar results (data not shown), we present final estimates with the most parsimonious model based on background regression (i.e., a model with the minimum set of covariates providing the same point estimates as did more complex models), to avoid overadjustment and variance inflation.
Thus, the availability of forecast models based on background seismicity rate may be reduced.
The model was constructed based on background information provided and the assessment of available information in the previous sections.
A plausible model was developed based on background literature and included the following potential confounders: age at delivery, ethnic group, social class, household income and education.
Initial background estimation in video processing serves as bootstrapping model for moving object detection based on background subtraction.
In the last decade, Gaussian mixture model based on universal background model (GMM-UBM) framework has demonstrated strong performance in speaker verification.
However, although the similarity of motifs to their local background does complicate the task of motif-finding approaches using local background models, this does not overly affect those based on global background models.
We scanned both strands of each human region defined above with position weight matrices (PWMs) (reviewed in [ 32]) from the JASPAR database (models MA0065.2 and MA0019.1, respectively, for PPARγ and C/EBPα) using the ASAP tool [ 47] based on a background model following a uniform distribution.
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