English

Quantum Motion Segmentation

Computer Vision and Pattern Recognition 2022-03-25 v1

Abstract

Motion segmentation is a challenging problem that seeks to identify independent motions in two or several input images. This paper introduces the first algorithm for motion segmentation that relies on adiabatic quantum optimization of the objective function. The proposed method achieves on-par performance with the state of the art on problem instances which can be mapped to modern quantum annealers.

Keywords

Cite

@article{arxiv.2203.13185,
  title  = {Quantum Motion Segmentation},
  author = {Federica Arrigoni and Willi Menapace and Marcel Seelbach Benkner and Elisa Ricci and Vladislav Golyanik},
  journal= {arXiv preprint arXiv:2203.13185},
  year   = {2022}
}
R2 v1 2026-06-24T10:24:54.436Z