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. 2022 May 26;22(11):4040. doi: 10.3390/s22114040

Figure 1.

Figure 1

The architecture of the proposed automatic deep learning framework. n and m are two rows and three columns, respectively, for patching. Clip size s is 12 frames. MIM: motion information map. P: patch sequence. L: a matrix of all patches labels. L: an updated L by false reduction algorithm. V: the input video. ROI: region of interest (entrance area). angle: the rotation angle of the input video.