The performance of person re-identification (re-ID) is easily affected by illumination
variations caused by different shooting times, places and cameras. Existing illumination …

Person re-identification (re-ID) in the scenario with large spatial and temporal spans has not
been fully explored. This fact partially occurs because existing benchmark datasets were …

Since human-labeled samples are free for the target set, unsupervised person re-
identification (Re-ID) has attracted much attention in recent years, by additionally exploiting …

As indoor space is the primary place for pedestrian activities, obtaining intelligent monitoring
of indoor pedestrians is crucial for intelligent video surveillance. Previous studies have …

Person re-identification refers to the process of recognizing a person across several non-
overlap** cameras. It is becoming increasingly important in computer vision for real-world …

Introduction Fish re-identification (re-ID) is of great significance for fish monitoring and can
contribute to aquaculture and fish breeding. Synchronizing information from different …

Статья посвящена многостороннему анализу повторной идентификации людей в
системах видеонаблюдения и современных методов ее решения с использованием …

Previous studies have demonstrated that not each sample in a dataset is of equal
importance during training. Data pruning aims to remove less important or informative …

This paper is devoted to a multifaceted analysis of person re-identification (ReID) in video
surveillance systems and modern solution methods using deep learning. The general …

This paper presents a system for object tracking that integrates a neural-network-based
computer vision model and a 2-DOF robot. The system consists of two main parts: the first …