FPGA Implementation of Optical Flow Algorithm Based on Cost Aggregation

In this paper, we describe an FPGA implementation of an optical flow estimation algorithm based on cost aggregation. The cost aggregation algorithms are mainly used in stereo vision systems, and show good results. We extended a cost aggregation algorithm for the optical flow estimation, and implemented it on FPGA. The error rate by our system is significantly lower than previous hardware systems, and its processing speed is fast enough to generate a dense flow map of high resolution image in real-time.