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.

• 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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