Vehicle re-identification (Re-ID) is one of the promising applications in the field of computer
vision. Existing vehicle Re-ID methods mainly focus on global appearance features or pre …

Vehicle re-identification (Re-ID) has been attracting increasing interest in the field of
computer vision due to the growing utilization of surveillance cameras in public security …

Vehicle re-identification (re-ID) aims to identify the same vehicle across multiple non-
overlapping cameras, which is rather a challenging task. On the one hand, subtle changes …

Vehicle re-identification (Re-ID) is a crucial task in smart city and intelligent transportation,
aiming to match vehicle images across non-overlapping surveillance camera scenarios …

With the development of smart cities, urban surveillance video analysis plays a further
significant role in intelligent transportation systems. Vehicle re-identification (re-ID) aims at …

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

Vehicle Re-ID has recently attracted enthusiastic attention due to its potential applications in
smart city and urban surveillance. However, it suffers from large intra-class variation caused …

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 …

Vehicle re-identification has attracted tremendous attention from computer vision
communities for its extensive applications in intelligent transportation and public security …

Vehicle re-identification is an important problem and becomes desirable with the rapid
expansion of applications in video surveillance and intelligent transportation. By recalling …