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Found 2 papers, 2 papers with code
Rank-based verification for long-term face tracking in crowded scenes
We present a series of experiments introducing novel specialized metrics for the evaluation of long-term tracking capabilities, and publicly release a video dataset with 10 manually annotated videos and a total length of 8' 54".
Long-Term Face Tracking for Crowded Video-Surveillance Scenarios
In this paper, we present a long-term multi-face tracking architecture conceived for working in crowded contexts, particularly unconstrained in terms of movement and occlusions, and where the face is often the only visible part of the person.
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