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 (reID) aims to identify vehicles across different cameras that have
non-overlap** views. Most existing vehicle reID approaches train the reID model with well …

Multi-Objective Multi-Camera Tracking (MOMCT) is aimed at locating and identifying
multiple objects from video captured by multiple cameras. With the advancement of …

Fully-supervised vehicle re-identification (re-ID) methods are faced with performance
degradation when applied to new image domains. Therefore, develo** unsupervised …

This paper explores the representation of vehicle lights in computer vision and its
implications for various pattern recognition tasks in autonomous driving. Different …

As a significant part of Intelligent Transportation System (ITS), vehicle Re-Identification (Re-
ID) aims to retrieve all target vehicle images captured from non-overlap** cameras …

Weapon detection is a very serious and intense issue as far as the security and safety of the
public in general, no doubt it's a hard and difficult task furthermore, its troublesome when …

Vehicle re-identification (Re-ID) methods often fail to achieve robust performance due to
insufficient training data and domain diversities. Although state-of-the-art methods apply …

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