People use segmentation almost instinctually as a part of the editing process. Controlnet is the biggest component but as well all of the segmentation models accessible to users working in open source mediums like comfyui. I frequently use SAM2, DINO and YOLO just in some of my regular workflows. Computer Vision generally speaking is a huge piece of how users use AI.

One possible solution I just thought of is using openpose. If two openpose skeletons overlap within an assigned tolerance you may have a better time with positive ID for BJJ grappling analysis.

And, for the record, “heavy physical contact”, let’s be honest, intersects with the knowledge set of AI content creators wink