Comparison of Two Algorithms for Robust M-estimation of Global Motion Parameters

The estimation of Global or Camera motion from image sequences is important both for video retrieval and compression (MPEG4). This is frequently performed using robust M-estimators with the widely used Iterative Reweighted Least Squares algorithm. This article presents an investigation of the use of an alternative robust estimation algorithm and illustrates its improved computationnal efficiency. The paper also introduces two new confidence measures which can be used to validate camera motion measurements in the context of information retrieval