Person re-identification has received a lot of attention from the research community in recent times. Due to its vital role in security based applications, person re-identification lies at the …
S Jaiswal, DK Vishwakarma - 2019 6th International …, 2019 - ieeexplore.ieee.org
Person Re-Identification has become prominent because of various reasons majorly due to its high-performance methods based on deep-learning. It is the process of person …
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non- overlapping cameras. With the advancement of deep neural networks and increasing …
Z Ming, M Zhu, X Wang, J Zhu, J Cheng, C Gao… - Image and Vision …, 2022 - Elsevier
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 …
M Zeng, C Tian, Z Wu - Proceedings of the 26th ACM international …, 2018 - dl.acm.org
Feature learning and metric learning are two important components in person re- identification (re-id). In this paper, we utilize both aspects to refresh the current State-Of-The …
Intelligent video-surveillance is currently an active research field in computer vision and machine learning techniques. It provides useful tools for surveillance operators and forensic …
Recognizing different visual signatures of people across non-overlapping cameras is still an open problem of great interest for the computer vision community, especially due to its …
Person re-identification (Re-ID) poses a unique challenge to deep learning: how to learn a deep model with millions of parameters on a small training set of few or no labels. In this …
Person re-identification (re-ID) has become increasingly popular in the community due to its application and research significance. It aims at spotting a person of interest in other …