In this talk Svebor Karaman introduce a proposal to Person re-identification. Person re-identification is usually defined as the task of retrieving images of one individual in a network of cameras given one or more gallery images.

Large-scale person re-identification

Standard scenarios from the literature are analyzed and the limitations pointed out with regards to the real world application they attempt to model e.g. in a video surveillance context.

The author introduce a proposal that can leverage the large amount of detections that can be obtained in real world application thanks to our semi-supervised approach.