Vehicle re-identification (v-reID) is a crucial and challenging task in the intelligent
transportation systems (ITS). While vehicle re-identification plays a role in analysing traffic …

Vehicle re-identification (ReID) endeavors to associate vehicle images collected from a
distributed network of cameras spanning diverse traffic environments. This task assumes …

The challenge of re-identifying vehicles in urban city surveillance systems and major traffic
arteries such as highways and roads is an important area of research. The advent of large …

Vehicle re-identification is a procedure for identifying a vehicle using multiple non-
overlapping cameras. The use of licence plates for re-identification have constraints …

Vehicle re-identification (V-reID) has become significantly popular in the community due to
its applications and research significance. In particular, the V-reID is an important problem …

In order to resist the adverse effect of viewpoint variations, we design quadruple directional
deep learning networks to extract quadruple directional deep learning features (QD-DLF) of …

With the increase of large camera networks around us, it is becoming more difficult to
manually identify vehicles. Computer vision enables us to automate this task. More …

In recent years, the development of robust Intelligent transportation systems (ITS) is tackled
across the globe to provide better traffic efficiency by reducing frequent traffic problems. As …

Transformers are more and more popular in computer vision, which treat an image as a
sequence of patches and learn robust global features from the sequence. However, pure …

Vehicle Re-identification is to find out the exact vehicle captured by other cameras given a
vehicle image. In natural traffic surveillance systems, vehicle re-identification can play a role …