Prelabeling of bounding boxes in video frames

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

• determining one or more region proposals, wherein each region proposal included in the one or more region proposals includes estimates of one or more bounding boxes surrounding one or more objects in a plurality of video frame, wherein determining the one or more region proposals comprises projecting three-dimensional (3D) points in a cuboid bounding an object onto two-dimensional (2D) points in the plurality of video frames based on parameters related to capture of the plurality of video frames by a camera;
• performing one or more operations that execute a refinement stage of a machine learning model to produce one or more refined estimates of the one or more bounding boxes included in the one or more region proposals;
• and
• outputting the one or more refined estimates as initial representations of the one more bounding boxes for subsequent annotation of the one or more bounding boxes by one or more users.

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:
• determine one or more region proposals, wherein each region proposal included in the one or more region proposals includes estimates of one or more bounding boxes surrounding one or more objects in a plurality of video frame, wherein determining the one or more region proposals comprises projecting three-dimensional (3D) points in a cuboid bounding an object onto two-dimensional (2D) points in the plurality of video frames based on parameters related to capture of the plurality of video frames by a camera;
• perform one or more operations that execute a refinement stage of a machine learning model to produce one or more refined estimates of the one or more bounding boxes included in the one or more region proposals;
• and
• output the one or more refined estimates as initial representations of the one more bounding boxes for subsequent annotation of the one or more bounding boxes by one or more users.