Door Recognition Principles in GITA's Machine Vision

Nowadays, in the traditional door or object recognition system, people use GluonCV and Tensorflow to help teach machines millions of pictures, and then base on the information in the database collected from the pictures to do the door recognition. While in the new proposal, a new door recognition system based on a machine carrier called GITA is proposed. In the proposal, the recognition elements comprise motionless elements, including door boundary, handle/bar, and ratio of body width and door width, and loco-motor elements, which include people's gesture, change of door depth and change of illumination. In order to prove it, several different tests based on seven doors of different types are done.