Synchronization Using Shapes

The synchronicity is a strong restriction that in some cases of wide applications can be difficult to obtain. This paper studies the methodology of using a non synchronized camera network. We consider the cases where the frequency of acquisition of each element of the network can be different, including desynchronization due to delays of transmission inside the network. The following work introduces a new approach to retrieve the temporal synchronization from the multiple unsynchronized frames of a scene. The mathematical characterization of the 3D structure of scenes, is used as a tool to estimate synchronization value, combined with a statistical stratum. This paper presents experimental results on real data for each step of synchronization retrieval.

Synchronization Using Shapes

The synchronicity is a strong restriction that in some cases of wide applications can be difficult to obtain. This paper studies the methodology of using a non synchronized camera network. We consider the cases where the frequency of acquisition of each element of the network can be different, including desynchronization due to delays of transmission inside the network. The following work introduces a new approach to retrieve the temporal synchronization from the multiple unsynchronized frames of a scene. The mathematical characterization of the 3D structure of scenes, is used as a tool to estimate synchronization value, combined with a statistical stratum. This paper presents experimental results on real data for each step of synchronization retrieval.