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Enhancing Multiple Object Tracking Accuracy via Quantum Annealing
March 29, 2024, 4:44 a.m. | Yasuyuki Ihara
cs.CV updates on arXiv.org arxiv.org
Abstract: 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 …
abstract accuracy arxiv challenge computation cs.cv eess.iv image image recognition key multiple novel object processes processing quant-ph quantum recognition speed study through tracking type via
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