I am building a 'follow bot' and wanted to use a logo as the target for the bot to follow. Essentially the logo will be on a button that I will stick on my back. The bot runs a Raspberry Pi with OpenCV2 and tensorflow on it and everything is written in Python so far. At this point everything else works but I'm not sure what approach I should use when training the logo for OpenCV.
The logo has bitmap and vector options available to me but not sure that really matters.
What training method should I use? Any suggestions for approach or sample code for navigation based on object detection?
OR
Is training a logo the same as training anything else for object recognition and I should jsut use the basics?
Thanks!