Person re-identification (re-ID) in the scenario with large spatial and temporal spans has not
been fully explored. This fact partially occurs because existing benchmark datasets were …

Person Re-Identification aims to retrieve person identities from images captured by multiple
cameras or the same cameras in different time instances and locations. Because of its …

When deploying person re-identification (ReID) model in safety-critical applications, it is
pivotal to understanding the robustness of the model against a diverse array of image …

Existing person re-identification methods mainly focus on searching the target person across
disjoint camera views in a short period of time. With this setting, these methods rely on the …

Abstract Vehicle Re-Identification (V-ReID) is a critical task that associates the same vehicle
across images from different camera viewpoints. Many works explore attribute clues to …

Vehicle re-identification (ReID) is the task of identifying the same vehicle across numerous
cameras. This is a complex classification task, and the fine-grained information and strong …

In this work, a real-time end-to-end person re-identification (Re-ID) system is developed for a
realistic unconstrained open-world environment. The raw surveillance videos are analyzed …

Sports analytics benefits from recent advances in machine learning providing a competitive
advantage for teams or individuals. One important task in this context is the performance …

Person re-identification (ReID) has attracted more and more attention, which is to retrieve
interested persons across multiple non-overlapping cameras. Matching the same person …

Object appearances change dramatically with pose variations. This creates a challenge for
embedding schemes that seek to map instances with the same object ID to locations that are …