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Facial Descriptors for Identity-Preserving Multiple People Tracking

Zervos, Michail  
•
BenShitrit, Horesh
•
Fleuret, François  
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2013

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.

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Type
report
Author(s)
Zervos, Michail  
BenShitrit, Horesh
Fleuret, François  
Fua, Pascal  
Date Issued

2013

Subjects

People Tracking

•

Facial Recognition

•

Identification

•

Re-Identification

Written at

EPFL

EPFL units
CVLAB  
Available on Infoscience
July 16, 2013
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/93384
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