A hash-tree based approach for a totally distributed track oriented Multi Hypothesis Tracker

We present a novel distributed implementation of Multiple Hypothesis Tracking (MHT). Our implementation is based on Merkle-Tree (hash-tree) distributed content storing approach. The proposed architecture makes use of recent advances in cryptographic signatures to enable fast operations on local trees and also allow sharing of hypotheses between local and remote nodes. Finally, the proposed architecture also allows for natural handling of out-of-sequence-measurements.