Re-identification offers a useful tool for non-invasive biometric validation, surveillance, and human-robot interaction in a broad range of applications from crowd traffic management to personalised healthcare.

The Re-Identification Challenge.- Part I: Features and Representations.- Discriminative Image Descriptors for Person Re-Identification.- SDALF.- Re-Identification by Covariance Descriptors.- Attributes-Based Re-Identification.- Person Re-Identification by Attribute-Assisted Clothes Appearance.- Person Re-Identification by Articulated Appearance Matching.- One-Shot Person Re-Identification with a Consumer Depth Camera.- Group Association.- Evaluating Feature Importance for Re-Identification.- Part II: Matching and Distance Metric.- Learning Appearance Transfer for Person Re-Identification.- Mahalanobis Distance Learning for Person Re-Identification.- Dictionary-Based Domain Adaptation Methods for the Re-Identification of Faces.- From Re-Identification to Identity Inference.- Re-Identification for Improved People Tracking.- Part III: Evaluation and Application.- Benchmarking for Person Re-Identification.- Person Re-Identification.- People Search with Textual Queries about Clothing Appearance Attributes.- Large Scale Camera Topology Mapping.- Scalable Multi-Camera Tracking in a Metropolis.