Further analysis of the track repulsion effect in automatic tracking

Abstract

The track repulsion effect induces track swapping in difficult target-crossing scenarios. This paper provides a simple analytical model for the probability of successful tracking in this setting. The model provides a means to quantify the degree-of-difficulty in target-crossing scenarios. We analyze model-based performance predictions for a range of scenario parameters. Additionally, we provide simulation results with a multi-hypothesis tracker that confirm the increased performance challenge in crossing target settings as the ambiguity persists longer, i.e. as the targets cross more slowly.

An equivalence-class approach to multiple-hypothesis tracking

“…Results are shown in Figure 4. We see that the standard MHT exhibits the previouslyobserved track repulsion effect that increases as the distance between targets is decreased [15].…”

“…[17]; an interesting, recentlyintroduced approach performs quite well at the cost of track labeling information [18]. The track repulsion effect in hard data association approaches can be mitigated through a multi-stage processing approach [15].…”

“…It has been shown that the PDAF exhibits track coalescence [12][13], while the GNNF and MHT exhibit track repulsion [14][15][16]. Several approaches have been investigated to mitigate the impact of track coalescence in soft data association filters, see e.g.…”

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

“…5. The MHTtree state on the left is the representation of the process described in [30]. There are two resolved track hypotheses T 1 and T 2 .…”

An end-to-end Maritime Surveillance Simulator prototype for the assessment of system effectiveness

“…Results from the NURC data fusion engine are well documented and based on a distributed multi-hypothesis tracker (DMHT) [7,8,9,10]. The NURC DMHT originally developed for underwater target tracking was modified for use in the maritime domain.…”