Human action data set generation in a machine learning system

A computing device for generating human action data sets, comprising:

• a memory;
• at least one processor coupled to the memory, wherein the at least one processor is configured to:
• receive a set of reference images, where each of the images within the set of reference images includes a person;
• identify body parts of the person from the set of reference images;
• generate a transformed skeleton image by mapping each of the body parts of the person to corresponding skeleton parts of a target skeleton;
• generate a mask of the transformed skeleton image;
• receive a background image;
• and
• generate, using a machine learning frame generator, a frame of the person formed according to the target skeleton within the background image, the machine learning frame generator being trained based on the target skeleton, the mask of the transformed skeleton image, and the background image.

A computer-readable medium storing code executable by one or more processors for generating human action data sets, the code comprising instructions for:

• receiving a set of reference images, where each of the images within the set of reference images includes a person;
• identifying body parts of the person from the set of reference images;
• generating a transformed skeleton image by mapping each of the body parts of the person to corresponding skeleton parts of a target skeleton;
• generating a mask of the transformed skeleton image;
• receiving a background image;
• and
• generating, using a machine learning frame generator, a frame of the person formed according to the target skeleton within the background image, the machine learning frame generator being trained based on the target skeleton, the mask of the transformed skeleton image, and the background image.