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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| Main Authors: | Ken Arioka, Yuichi Sawada |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| 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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