Implementation of a Multiple Target Tracking Filter on an Adiabatic Quantum Computer

McCormick, Timothy M.; Osborn, Bryan R.; Angle, Robert Blair; Streit, Roy L.

doi:10.1109/aero53065.2022.9843451

Cited by 3 publications

(1 citation statement)

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“…Research on MOT using QA or adiabatic quantum computation has been carried out in recent years [16][17][18]. However, these studies have been limited to the examination of the reduction of computational costs and have not reported improvements in accuracy.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Multiple Object Tracking Accuracy via Quantum Annealing

Ihara

2024

Preprint

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Multiple object tracking (MOT), a key task in image recognition, presents a persistent challenge in balancing processing speed and tracking accuracy. This study introduces a novel approach that leverages quantum annealing (QA) to expedite computation speed, while enhancing tracking accuracy through the ensembling of object tracking processes. A method to improve the matching integration process is also proposed. By utilizing the sequential nature of MOT, this study further augments the tracking method via reverse annealing (RA). Experimental validation confirms the maintenance of high accuracy with an annealing time of a mere 3 µs per tracking process. The proposed method holds significant potential for real-time MOT applications, including traffic flow measurement for urban traffic light control, collision prediction for autonomous robots and vehicles, and management of products mass-produced in factories.

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Section: Introductionmentioning

confidence: 99%