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arXiv · 2401.12182

Tracking before detection using partial orders and optimization

Abstract

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.

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Michael Robinson, Michael Stein, Henry S. Owen. 2024-01-22. Tracking before detection using partial orders and optimization. https://arxiv.org/abs/2401.12182

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