Facial Descriptors for Identity-Preserving Multiple People Tracking

In this report, we show that facial descriptors can be used very effectively in conjunction with a tracklet-based multi-person tracker both to localize and to identify or re-identify people over long sequences. Thus, we can reliably deliver both trajectories and identities in crowded scenes. Furthermore, the whole approach is fast enough to be implemented in real-time. Our key insight is that this can be done even though the faces can only be recognized relatively infrequently.


Année
2013
Publisher:
Lausanne
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 Notice créée le 2013-07-16, modifiée le 2019-04-16

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