Fusion in dissimilarity space for RGB-D person re-identification
Person re-identification (Re-id) is the task of recognizing people across different non-overlapping sensors of a camera network.Despite the recent advances with deep learning (DL) models for multi-modal fusion, state-of-the-art Re-id approaches fail to leverage the depth guided contextual information to dynamically here select the most discriminant