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Multi-Target Multi-Camera Aerial Re-identification by Convex Hull Topology

This paper discusses the re-identification (Re-ID) of objects of interest (OOI) across multiple cameras. In the first part of this paper, we propose a novel technique to associate and re-identify objects between multiple aerial cameras across a corresponding frame by considering the topological (layout) sequence of ground objects calculated using computational geometry. This sequence relied on the invariant properties of projective transformation, i.e. collinearity, point of intersection, and cross ratio. The associated objects are then used for homography estimation to generate the homography matrix needed for subsequent comparison between object trajectories for re-identification across cameras and across time using an earlier developed technique with the results shown in the second part. By applying both the novel topology-based and our previous homography trajectory matching approaches, our initial field test shows successful object re-identification with Precision around 90-95%. Additionally, with the combination of both techniques, the full pipeline of object Re-ID for different cameras is completed, allowing the potential for automated Re-ID of objects for moving cameras.