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Lett."],"published-print":{"date-parts":[[2026,7,1]]},"abstract":"<jats:p>Reliable particle matching in densely seeded flows with large displacements and strong velocity gradients remains a fundamental challenge in particle-based velocimetry. To address this problem, we propose an event-guided dual-tracer strategy to assist frame-based particle matching. A frame camera records the full tracer field, while an event camera continuously tracks only the sparse fluorescent tracers mixed into the main tracer population; their timestamped trajectories provide initial anchors, i.e., direct particle correspondences between the two frame images. An iterative anchor-expansion algorithm then uses these event-guided anchors as local motion references to grow additional well-supported anchors while leaving ambiguous candidates unmatched. Synthetic tests demonstrate a mean expansion precision consistently above 99% across the tested conditions. 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All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.","name":"copyright","label":"Copyright"}]}}