Extent estimation of jitter based on the longest path for surveillance videos

The existing video jitter detection algorithms only calculate parameters such as displacement, rotation angle, zoom scale. The lack of extent calculation of jitter leads to wrong judgments while faced with complications. To tackle the problem, the longest path based algorithm for extent estimation of jitter was proposed in this paper. First, global motion estimation was conducted by gray projection algorithm introduced local consistency of jitter. Then, ratio, frequency and amplitude of jitter were calculated according to the longest path algorithm combined with global motion parameters. Finally, the extent estimation of jitter was realized via machine learning approach on the basis of jitter parameters obtained in the last step. Experimental results demonstrate the validity and feasibility of the proposed algorithm.