Abstract

In this work, a method that synchronizes two video sequences is proposed. Unlike previous methods, which require the existence of cor- respondences between features tracked in the two sequences, and/or that the cameras are static or jointly moving, the proposed approach does not impose any of these constraints. It works when the cameras move inde- pendently, even if different features are tracked in the two sequences. The assumptions underlying the proposed strategy are that the intrinsic parameters of the cameras are known and that two rigid ob jects, with independent motions on the scene, are visible in both sequences. The relative motion between these ob jects is used as clue for the synchro- nization. The extrinsic parameters of the cameras are assumed to be unknown. A new synchronization algorithm for static or jointly moving cameras that see (possibly) different parts of a common rigidly moving ob ject is also proposed. Proof-of-concept experiments that illustrate the performance of these methods are presented, as well as a comparison with a state-of-the-art approach.