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Normalizing image embeddings after exponential moving average.

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A question on AI Stack Exchange asks about normalizing 256-dimensional reID model embeddings after applying exponential moving average for object tracking in an image plane.

Written by AI from AI Stack Exchange's published text.

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“I am working on object tracking in image plane. For each detected object in an image, I get a 256-dimensional embedding vector using a reID model. Since the embeddings can be noisy, for the same object in the image plane, I do exponential moving average i.e.”
AI Stack Exchange, 01 Oct 2026, 07:32.

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