Re-identification with Recurrent Neural Networks
Today re-identification of persons in disjoint camera views demand large human effort and resources. There is a need of autonomous re-identification systems. This thesis has been focused on the development of autonomous re-identification systems based on recurrent neural networks able to analyze sequences of images of persons, enabling the possibility to filter out outliers within sequences and m
