A new global motion estimation algorithm and its application to retrieval in sports events

In this paper, we propose a novel global motion estimation technique based on weighted gradient and Displaced Frame Difference (DFD) associated with Wiener estimation. Then, we apply this technique to parse events of a high level of understanding in a cricket game. A user oriented analysis of the game then reveals a distinct connection between the global motion and specific events. By estimating global motion and analysing the temporal evolution of the estimated motion parameters, we present an effective process for the extraction of cricket events, leading to a succes rate of 88.9%.