If anyone is interested I've done a project which does object classification of a sumo video feed real time. I've got a youtube video of it in action at:
The Sumo is being controlled from my PC which in turn is using Faster RCNN to process images real time putting a box around glasses, mugs, shoes and apples. Currently I have trained it for these four objects only. It was trained using faster rcnn deep learning from over 600 images. If you would like to run the project yourself the project is on github at:
It is a fork of py-faster-rcnn. To run it you really need a PC with a NVIDIA GPU that is 960 or better if you want real time processing. You will also need to install CUDA. It is also much easier to compile on Ubuntu.