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Multi-Object Tracking (MOT) is most often approached in thetracking-by-detection paradigm, where object detections are associated throughtime. The association step naturally leads to discrete optimization problems.As these optimization problems are often NP-hard, they can only be solvedexactly for small instances on current hardware. Adiabatic quantum computing(AQC) offers a solution for this, as it has the potential to provide aconsiderable speedup on a range of NP-hard optimization problems in the nearfuture. However, current MOT formulations are unsuitable for quantum computingdue to their scaling properties. In this work, we therefore propose the firstMOT formulation designed to be solved with AQC. We employ an Ising model thatrepresents the quantum mechanical system implemented on the AQC. We show thatour approach is competitive compared with state-of-the-art optimization-basedapproaches, even when using of-the-shelf integer programming solvers. Finally,we demonstrate that our MOT problem is already solvable on the currentgeneration of real quantum computers for small examples, and analyze theproperties of the measured solutions.

Adiabatic Quantum Computing for Multi Object Tracking