Enhanced multi-object tracking via appearance feature gating using UMAP

This study introduces a novel approach to enhance multi-object tracking performance in computer vision by addressing the challenges of inaccurate object matching in data associations. The core idea is to leverage the Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction t...

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Bibliographic Details
Main Authors: Ken Arioka, Yuichi Sawada
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:SICE Journal of Control, Measurement, and System Integration
Subjects:
Online Access:http://dx.doi.org/10.1080/18824889.2025.2507984
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