Los sistemas de visión son herramientas esenciales en muchas áreas, incluyendo la
seguridad y la prevención de delitos. Una de las áreas de investigación más importantes en …

Vehicle re-identification aspires to discover the target vehicle from the images obtained from
the multiple non-overlapping real-world surveillance cameras. The challenges of …

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 …

We are living in times when a revolution of deep learning is taking place. In general, deep
learning models have a backbone that extracts features from the input data followed by task …

The revolution of smart devices such as smartphones, smart washing machines, smart cars
is increasing every year, as these devices are provided connected with the network and …

With the development of new media technology, vehicle matching plays a further significant
role in video surveillance systems. Recent methods explored the vehicle matching based on …

Vehicle Retrieval plays a very important role for traffic surveillance system which has been
being developed in recent decades with innovative methods from traditional approach to …

This paper proposes a re-ranking method for vehicle re-identification based on k-reciprocal
Encoding. In recent years, with the development and popularization of deep learning …

Vehicle Re-ID aims to retrieve images of the same vehicle across non-overlapping cameras.
The key challenges lie in the subtle inter-class discrepancy caused by near-duplicated …

Vehicle re-identification is an important computer vision task where the objective is to
identify a specific vehicle among a set of vehicles seen at various viewpoints. Recent …