Hybrid Video Stabilization Technique for Hand Held Mobile Videos

The videos taken from hand held mobile cameras suffer from different undesired slow motions like track, boom or pan. Hence it is desired to synthesis a new stabilized video sequence, by removing the undesired motion between the successive frames. Most of the previous methods assumes the camera motion model hence have limitation to process gorse motion. The efficiency of feature based methods depend on the ability of feature point selection and might cause temporal inconsistency in case of fast moving object in static scene. By taking consideration of slow motion limitation; the paper proposed a hybrid video stabilization technique using hierarchical differential global motion estimation and combination of gaussian kernel filtering is then added to eliminate accumulation error. The method is simple and computationally efficient, and is experimented on the large variety of videos taken in real time environment with different motions. It is found that proposed method not only effectively removes the undesired motion, but also minimizes the missing frame area.