Neural Network for Optical Flow Estimation

Abstract

The neural network for optical flow estimation is described from hardware implementation point of view. The required bit accuracy of the network parameters is determined by computer simulation experiments. The results show that the network will be able to estimate the good velocity field under analog implementation. The hardware configuration of the network is also proposed.