User identification in store environments

A non-transitory computer readable medium storing instructions that, when executed by a processor, cause the processor to perform the steps of:

• generating a first set of image crops of a first set of users in an environment based on estimates of a first set of poses for the first set of users in a first set of images collected by a set of tracking cameras;
• applying an embedding model to the first set of image crops to produce a first set of embeddings;
• aggregating the first set of embeddings into a set of clusters representing the first set of users;
• and
• upon matching, to a cluster, a second set of embeddings produced by the embedding model from a second set of image crops of an interaction between a user and an item, storing a representation of the interaction in a virtual shopping cart associated with the cluster.

A system, comprising:

• a memory that stores instructions, and
• a processor that is coupled to the memory and, when executing the instructions, is configured to:
• generate a first set of image crops of a first set of users in an environment based on estimates of a first set of poses for the first set of users in a first set of images collected by a set of tracking cameras;
• apply an embedding model to the first set of image crops to produce a first set of embeddings;
• aggregate the first set of embeddings into a set of clusters representing the first set of users;
• and
• upon matching, to a cluster, a second set of embeddings produced by the embedding model from a second set of image crops of an interaction between a user and an item, store a representation of the interaction in a virtual shopping cart associated with the cluster.