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Furthermore, the alarms given off by our application are evaluated on a naturalistic private dataset, where it is evidenced that our expert video-surveillance system can effectively detect suspicious behaviors with a low computational cost in a shopping mall context.
Those of them that have low enough complexity to be appropriate for our application, are outperformed by our method, as shown in [1].
Therefore most relevant performance measures for our application are number of CPUs, size of memory, and data transfer rates (while using a hybrid infrastructure).
The distortions in our application are more general, where the offset break direction depends on the motion direction relative to the edge orientation.
The best component images used in our application are the R, H, Y, X, A, and L components for the input image expressed in the {RGB, HIS, YIQ, XYZ, LAB, and LUV} color spaces, respectively.
The acceptable limits for these parameter values in our application are −20°< rotational angle θ<20° −10°< shearing angle <10° 0.25< scale change <3.0 Maximum translational range, 1/2 image size.
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However, the non applicability of the Boussinesq approximation in our application is independent of the chosen approach.
Our application is now live.
When our application was approved, I was overjoyed, and surprised.
His condition got worse while our application was still pending, and he then required special care.
We applied to take our case to the Danish supreme court, but last week our application was turned down.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com