A Motion Model Based Video Stabilisation Algorithm

Video sequences often suffer from jerky movements between successive frames. In this paper we present a stabilisation method to extract the information from successive frames and to correct the undesirable effects. In the method, the optical flow is computed and the estimated motion vectors using the Horn-Schunck algorithm are passed to the model-fitting unit that stabilizes and smoothens the video sequence. A synchronization module supervises the whole system. The measures based on the fidelity of the system (PSNR) are given to demonstrate the stabilisation and efficiency of the system.