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.
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.