In this paper we present a noise reduction filter for video processing. It is based on the recently proposed two
dimensional steering kernel, extended to three dimensions and further augmented to suit the spatial-temporal
domain of video processing. Two alternative fillters are proposed - the time symmetric kernel and the time
asymmetric kernel. The first reduces the noise on single sequences, but to handle the problems at scene shift
the asymmetric kernel is introduced. The performance of both kernels is tested on simulated data and on a
real video sequence together with the original steering kernel. The proposed kernels improves the Rooted Mean
Squared Error (RMSE) compared to the original steering kernel method on video material significantly.