CPC G06T 7/73 (2017.01) [G06F 18/23213 (2023.01); G06F 18/24147 (2023.01); G06N 20/00 (2019.01); G06T 7/11 (2017.01); G06T 7/90 (2017.01); G06V 10/763 (2022.01); G06V 10/764 (2022.01); G06V 20/42 (2022.01); G06V 40/23 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30221 (2013.01)] | 20 Claims |
1. A method for image clustering, comprising:
receiving a plurality of images from a video of a game;
determining a first feature vector of a first player from the plurality of images by inputting the plurality of images to an artificial intelligence (AI)-based process;
determining a location information associated with the first player using a pose-estimation technique;
dividing the plurality of images into a first subset of images and a second subset of images based on the first feature vector;
receiving a first identifier tagging the first player in a first image of the first subset; and
identifying a second player in a second image in the second subset by propagating the first identifier of the first subset, based on a distance measure associated with the first feature vector from the AI-based process, wherein the AI-based process is based on the location information.
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