Vehicle re-identification is one of the core technologies of intelligent transportation systems,
and it is crucial for the construction of smart cities. With the rapid development of deep …

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 …

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 …

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 …

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 …

The intelligent transportation system is currently an active research area, and vehicle re-
identification (Re-Id) is a fundamental task to implement it. It determines whether the given …

Most existing methods on vehicle Re-Identification (ReID) extract global features on
vehicles. However, as some vehicles have the same model and color, it is hard to …

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

In this paper, we propose a shortly and densely connected convolutional neural network
(SDC-CNN) for vehicle re-identification. The proposed SDC-CNN mainly consists of short …