Image Sequence Stabilization in Real Time

This paper describes a method ofstabilizingimage sequences obtained by a camera carried by a ground vehicle. The motion of the vehicle can usually be regarded as consisting of a desired smooth motion combined with an undesired non-smooth motion that includes impulsive or high-frequency components. The goal of the stabilization process is to correct the images so that they are approximately the same as the images that would have been obtained if the motion of the vehicle had been smooth.We analyse the smooth and non-smooth motions of a ground vehicle and show that only the rotational components of the non-smooth motion have significant perturbing effects on the images. We show how to identify image points at which rotational image flow is dominant, and how to use such points to estimate the vehicle's rotation. Finally, we describe an algorithm that fits smooth (ideally, piecewise constant) rotational motions to these estimates; the residual rotational motion can then be used to correct the images. We have obtained good results for several image sequences obtained from a camera carried by a ground vehicle moving across bumpy terrain.