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Tracking before detection using partial orders and optimization

This article addresses the problem of multi-object tracking by using a non-deterministic model of target behaviors with hard constraints. To capture the evolution of target features as well as their locations, we permit objects to lie in a general topological target configuration space, rather than...

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Bibliographic Details
Published in:arXiv.org 2024-01
Main Authors: Robinson, Michael, Stein, Michael, Owen, Henry S
Format: Article
Language:English
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Online Access:Get full text
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Summary:This article addresses the problem of multi-object tracking by using a non-deterministic model of target behaviors with hard constraints. To capture the evolution of target features as well as their locations, we permit objects to lie in a general topological target configuration space, rather than a Euclidean space. We obtain tracker performance bounds based on sample rates, and derive a flexible, agnostic tracking algorithm. We demonstrate our algorithm on two scenarios involving laboratory and field data.
ISSN:2331-8422