2024
DOI: 10.3390/a17080352
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In-Depth Analysis of GAF-Net: Comparative Fusion Approaches in Video-Based Person Re-Identification

Moncef Boujou,
Rabah Iguernaissi,
Lionel Nicod
et al.

Abstract: This study provides an in-depth analysis of GAF-Net, a novel model for video-based person re-identification (Re-ID) that matches individuals across different video sequences. GAF-Net combines appearance-based features with gait-based features derived from skeletal data, offering a new approach that diverges from traditional silhouette-based methods. We thoroughly examine each module of GAF-Net and explore various fusion methods at the both score and feature levels, extending beyond initial simple concatenation… Show more

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