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Identity-Centric Video Summarization via Hierarchical Fusion of Biometric, Appearance, and 3D Body Features

arXiv · AI, language, vision and robotics · article · Sep 22, 2026 · UTC

This work presents a video summarization algorithm based on multi-object tracking and person reidentification. We integrate facial embeddings, 3D body-shape features, and visual appearance into a unified tracking framework. These representations enable hierarchical identity assignment and tracking through bidirectional anchoring, which robustly recovers trajectories under severe occlusion or low visual quality. From these stable trajectories, we generate a compact set of summaries for each identity. We select keyframes using a multi-factor weighting scheme that optimizes biometric clarity, soc

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