Vehicle re-identification is identifying and position referencing a vehicle of interest through
images or video streams collected using a network of camera stations. This task is crucial in …

Vehicle re-identification helps in distinguishing between images of the same and other
vehicles. It is a challenging process because of significant intra-instance differences …

Vehicle re-identification aims to identify vehicles from different cameras and has drawn
much attention in the multimedia community. In recent years, significant achievements in …

The massive attention to the surveillance video-based analysis makes the vehicle re-
identification one of the current hot areas of interest to study. Extracting discriminative visual …

Vehicle re-identification is effected by the vehicle appearance feature, especially for the
illumination variation, line of sight occlusion, and image angle change. To solve this …

Vehicle re-identification supports cross-camera tracking and the location of specific vehicles
in a smart city. The gallery images of vehicles are ranked based on the similarities in the …

Vehicle re-identification (ReID) aims to identify a specific vehicle in the dataset captured by
non-overlapping cameras, which plays a great significant role in the development of …

Vehicle re-identification's methods usually exploit the spatial uniform partition strategy via
dividing deep feature maps into several parts. Then each of them is further independently …

Vehicle re-identification aims to retrieve the target vehicle from the image gallery quickly and
accurately. Vehicle re-identification with deep learning has achieved considerable …

The process of recognizing the same vehicle in different scenes is called vehicle re-
identification. However, due to the different locations of the surveillance cameras, there may …