Automated person identification in video
We describe progress in the automatic detection and identification of humans in video, given a minimal number of labelled faces as training data. This is an extremely challenging problem due to the many sources of variation in a person’s imaged appearance: pose variation, scale, illumination, expres...
| Main Authors: | , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2004
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