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Figure 12 Invalid pixels of each input frame.
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A total of 248 frames were provided as input to the MFC BGS Library x86 1.3.0 tool which provided the detected foreground frames for each input frame.
In this step, we start by extracting a set of points of interest from each input frame.
As output, n Temp_filters matrices of the same dimensions as each input frame are generated as a result of the convolution of each frame with the corresponding convolution filter.
In the analysis stage, phase differences are calculated from the FFT coefficients of each input data frame at each channel.
The second method is to calculate the output probability of each input at frame level, and a single decoder using these output probabilities is used to perform speech recognition.
The target frame rate is twice of the input frame rate.
Figure 6 presents an analysis of the piece of the input frame 1,396 where the car blob appears.
It uses a randomized tree-based feature classifier for searching the nearest keyframe of an input frame.
The reason for this probably is the color complexity and structural complexity of the input frame set like S04 and S06 in Figure 14.
Although integrating SP tap-selection can be beneficial in the frequency domain, it requires careful consideration since as can be seen from (13), the length of the input frame is compared to for the adaptive filter.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com