I'm not sure I follow the question. Why would there need to be special research for high-FPS cameras? The challenge with all video-based systems is to capture long-range dependencies. And "long-range" is defined over the number of frames. How much time has elapsed between the frames doesn't really matter.

However, if you have a high-FPS camera and a slow moving scene, you'll have a lot of images are are pretty much identical to each other. That means, according to information theory there is very little additional information in each frame. In that case you might want to consider to do temporal downsampling on your data. If you have a fast moving scene and you really need to take advantage of updating your prediction for every single frame, the only constraint is processing power.

So in that case, the problem of inference for high-FPS cameras is the same as computationally efficient models. And there are a few models who are intended to be run on mobile devices. Maybe you want to look into that.