Call for Papers
The aim of this workshop is to bring together leading researchers working
on automatic human recognition to advocate and promote new research directions
to video-surveillance as well as other, less obvious, domains such as entertainment,
social network analysis, privacy preservation, customer behavior analysis,
de-identification methods.
Topics of interest include:
- Face Recognition in the wild
- Person Detection and Re-identification
- Deep Learning for Human Recognition
- Face Detection and Face Tracking to support recognition
- Identification using soft-biometrics
- Open-set Identification Methods
- Gait-based Recognition
- Identification techniques to deal with partial, corrupted and noisy data
- Scalable methods for face and person recognition
- Attributes that improve identification
- Interplay and fusion between face and person re-identification methods
- De-identification methods (how to preserve the identity)
- Implication of human identification on social networks and social media
- Datasets for human identification using multiple, different cues
- Theoretical studies showing integration of multi-recognition methods
- Machine learning applied to identification
- New evaluation metrics for open-world human identification
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