Abstract Cross‐view vehicle Reidentification (ReID) has attracted widespread attention as
an increasingly important vision task in intelligent transportation and urban surveillance …

Learning cross-view consistent feature representation is the key for accurate vehicle Re-
identification (ReID), since the visual appearance of vehicles changes significantly under …

Vehicle re-identification (Re-ID) that aims at matching vehicles across multiple
nonoverlapping cameras is prevalently recognized as an important application of computer …

Abstract Vehicle Re-Identification is to find images of the same vehicle from various views in
the cross-camera scenario. The main challenges of this task are the large intra-instance …

With the increasing prevalence of intelligent traffic control and monitoring, research on
vehicle re-identification (Re-ID) draws substantial attention in recent years. Different from …

Vehicle re-identification is one of the essential application of urban surveillance. Due to
enormous variation in inter-class and intra-class resemblance creates a challenge for …

In this paper we propose a novel large margin metric learning scheme for vehicle re-
identification (re-ID), which aims to maximize the distance margins among different vehicles …

Vehicle re-identification (ReID) aims to match and track vehicles in a surveillance system
across non-overlapping camera views. Despite great advances have been achieved in intra …

Many vehicle re-identification (Re-ID) problems require the robust recognition of vehicle
instances across multiple viewpoints. Existing approaches for dealing with the vehicle re-ID …

Vehicle Re-Identification (Re-ID) is a challenging vision task mainly because the
appearance of a vehicle varies dramatically under different viewpoints. Moreover, different …