Person Re-identification in Appearance Impaired Scenarios

Understand

Person re-identification is critical in surveillance applications.

• Current approaches rely on appearance based features extracted from a single or multiple shots of the target and candidate matches.
• These approaches are at a disadvantage when trying to distinguish between candidates dressed in similar colors or when targets change their clothing.
• In this paper we propose a dynamics-based feature to overcome this limitation.