Neural model-based motion estimation
Jarosław Szostakowski, Sławomir Skoneczny, Marcin Iwanowski · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1997
In this paper a novel method of estimating displacement of moving objects from one frame to the next in the image sequence is presented. This method is based on using the artificial neural networks for different models of motion. The two model is examined: affine flow and planar surface motion. Various circuit architectures of simple neuron-like processors are considered for estimation of motion parameters. The efficiency of the proposed networks are investigated by computer simulation for using in video processing.