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If Rocki wanted to truly boost the pace of machine learning, he would have to figure out how to run hundreds of millions of frames per second on one of these platforms.
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In (8), α, β, T s, T H are, respectively, the threshold of intensity, hue, and saturation (0 < α < β <1). Figure 6 shows the edge images of foreground of 1st and 3rd frames of "Table" after HSV shadow suppression, where α = 0.1,β = 0.9,T s = T H = 0.2. Figure 6 Results of Figures4a after after HSV suppression.
(f) The extraction results of (b). Figure 4 shows the extraction results of the 1st and 3rd frames of video sequence "Table".
Figure 11 Results of the 10th and 13th frames of "Silent" by using the algorithm in [[5]] and the proposed algorithm.
Figure 10 Results of the 1st and 3rd frames of "Table" by using the algorithm in [[5]] and the proposed algorithm.
The first column is the 10th and 11th frames of the original video sequence.
Figure 11 gives the shadow elimination result comparison between the algorithm in [5] and the proposed algorithm for the 10th and 13th frames of video sequence "Silent".
Table 2 Selected video sequences Video sequence type Name Frame size Frame numbers Standard Table 176 × 144 150 Silent 352 × 288 300 Self shoot Men 352 × 288 150 Wait 352 × 288 150. Figure 10 gives the shadow elimination result comparison between the algorithm in [5] (only considering HSV color space) and the proposed algorithm for the 1st and 3rd frames of video sequence "Table".
(d) Result of 17th frame of "Lamp man" before the process of shadow elimination.
(d) Result of 2nd frame of "Car men" before the process of shadow elimination.
(f) Result of 4th frame of "Car men" before the process of shadow elimination.
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