CPC G06N 3/08 (2013.01) [G06N 3/045 (2023.01); G06T 7/246 (2017.01); G06V 10/764 (2022.01); G06V 10/806 (2022.01); G06V 10/809 (2022.01); G06V 40/20 (2022.01)] | 20 Claims |
1. A method comprising:
inputting a plurality of frames of a video stream to a first neural network;
accessing first output from the first neural network;
generating one or more eccentricity maps using one or more RGB channel intensity vectors associated with the frames, wherein each eccentricity map is a static image that aggregates apparent motion of one or more features included in the video stream;
inputting the eccentricity maps to a second neural network;
accessing second output from the second neural network;
fusing the first output and second output into a fused output; and
classifying an action occurring in the video stream from the fused output.
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