Track aware detection for object tracking systems

A method comprising:

• receiving a vector embedding of a bounding box for an object in image content;
• performing a clustering operation for the vector embedding based on at least one of:
• a specified interval of frames of the image content have been evaluated;
• or
• a specified number of bounding boxes for the object have been created,
• the clustering operation including adding the vector embedding to a cluster of vector embeddings for the object based on a comparison of the vector embedding to an average vector embedding for the cluster of vector embeddings, wherein adding the vector embedding to the cluster of vector embeddings for the object comprises comparing the vector embedding to a plurality of clusters of vector embeddings for the object, each of the plurality of clusters of vector embeddings representing a different perspective of the object.

A method comprising:

• detecting a completed track for an object being tracked in image content, the completed track comprising frames depicting the object over a first time period;
• creating multiple sliding windows for the completed track, the multiple sliding windows each comprising a subset of the frames;
• determining a specified number of the multiple sliding windows exceed a confidence threshold value based on a median confidence calculation for each of the multiple sliding window;
• and
• based on the determining, persisting the completed track for a second time period.