Error Resilient Recurring Gallery Building

Correctly re-identify people in different images

In person re-identification, people must to be correctly identified in images that come from different cameras or are captured at different points in time. In the open-set case, the above needs be achieved for persons that have not been previously observed. We propose a universal method for building a multi-shot gallery of observed reference identities recurrently online.