In recent years, person re-identification (ReID) has received much attention since it is a
fundamental task in intelligent surveillance systems and has widespread application …

Deep learning-based methods for video pedestrian detection and tracking require large
volumes of training data to achieve good performance. However, data acquisition in …

Image retrieval can be formulated as a ranking problem where the goal is to order database
images by decreasing similarity to the query. Recent deep models for image retrieval have …

The vehicle re-identification (Re-ID) has become one of most important techniques for
tracking vehicles in intelligent transport system. Vehicle Re-ID aims at matching identical …

Attention mechanisms can extract salient features in images, which has been proven to be
effective for person re-identification. However, focusing on the saliency of an image is not …

In recent years, with the increasing demand for public safety and the rapid development of
intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot …

Person re-identification (ReID) is a challenging problem, where global features of person
images are not enough to solve unaligned image pairs. Many previous works used human …

Person re-identification (Re-ID) requires discriminative features focusing on the full person
to cope with inaccurate person bounding box detection, background clutter, and occlusion …

Recently, some methods have focused on learning local relation among parts of pedestrian
images for person re-identification (Re-ID), as it offers powerful representation capabilities …

Person re-identification (ReID) is an intelligent video surveillance technology that retrieves
the same person from different cameras. This task is extremely challenging due to changes …