Research on the application of vehicle re-identification to video surveillance has attracted
increasingly growing attention. Existing methods are associated with the difficulties of …

Vehicle re-identification targets to find the target vehicle images in a large dataset which is
composed of vehicle images from multiple non-overlapping cameras. Due to the various …

Vehicle re-identification aims to identify the same vehicle across different surveillance
cameras and plays an important role in public security. Existing approaches mainly focus on …

Vehicle re-identification (re-id) aims to solve the problems of matching and identifying the
same vehicle under the scenes across multiple surveillance cameras. For public security …

With the continuous development of intelligent transportation systems, vehicle-related fields
have emerged a research boom in detection, tracking, and retrieval. Vehicle re-identification …

The vehicle re-identification task aims to retrieve the same vehicle from multiple cameras.
One of the challenges of this task is that images of different vehicles may look very similar …

In this paper, a joint feature and similarity deep learning (JFSDL) method for vehicle
reidentification is proposed. The proposed JFSDL method applies a siamese deep network …

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 holds great significance for intelligent transportation and public
safety. Extracting vehicle recognition information from multi-view vehicle images has …

Vehicle re-identification (reID) aims to search the target vehicle in a non-overlapping multi-
camera network, which is important for the intelligent analysis in large scale of surveillance …