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SUMMARY:Alfred Wärnsäter (KTH Royal Institute of Technology)
DTSTART:20251117T121500Z
DTEND:20251117T130000Z
DTSTAMP:20260417T003522Z
UID:cam/86
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/cam/86/">Mul
 tiple Target Tracking via Multimarginal Optimal Transport</a>\nby Alfred W
 ärnsäter (KTH Royal Institute of Technology) as part of CAM seminar\n\nL
 ecture held in MV:L14.\n\nAbstract\nThe field of Multiple Target Tracking 
 (MTT) deals with the task of estimating targets that appear\, disappear\, 
 and move within a scene\, given data from noisy measurements. An important
  step in an MTT algorithm is data association: determining if a detection 
 is a false positive\, and if not\, which target it should correspond to. W
 e find that this task is closely related to the field of multimarginal opt
 imal transport (MMOT)\, which originally stems from the problem of optimal
 ly moving dirt for the construction of roads. In this work\, we connect MT
 T with MMOT. Specifically\, we show how a popular evaluation metric for MT
 T (the TGOSPA metric) can be cast as an MMOT problem\, allowing it to be c
 omputed efficiently using techniques from the MMOT literature.\n
LOCATION:https://researchseminars.org/talk/cam/86/
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