From labels to tracks: it's complicated

Lingji Chen

doi:10.1117/12.2304487

27 April 2018 From labels to tracks: it's complicated

Lingji Chen

Proceedings Volume 10646, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII; 1064603 (2018) https://doi.org/10.1117/12.2304487
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

The recently developed Labeled Random Finite Set (RFS) filter seems to make the problem of forming tracks across time trivial: Connect the track points with the same label, and we get a track. This paper shows different ways of forming tracks: through connecting filtered or smoothed track points, through tracing the pedigree of the last best hypothesis, and through solving the batched problem with the entire data set. It shows that the problem is nontrivial, and there are unanswered questions.

Conference Presentation

Citation Download Citation

Lingji Chen "From labels to tracks: it's complicated", Proc. SPIE 10646, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII, 1064603 (27 April 2018); https://doi.org/10.1117/12.2304487

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