A multilayer massively parallel architecture for optical flow computation
A two-layers architecture for optical flow computation is presented, which uses neural nets in the lower layer and a special relaxation system in the upper layer. The high degree of parallelism of the architecture makes it particularly suitable for real-time applications.<<ETX>>