Deep learning-based methods for person re-identification: A comprehensive review
D Wu, SJ Zheng, XP Zhang, CA Yuan, F Cheng… - Neurocomputing, 2019 - Elsevier
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 …
fundamental task in intelligent surveillance systems and has widespread application …
Occluded person re-identification with deep learning: a survey and perspectives
Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent
surveillance systems. Widespread occlusion significantly impacts the performance of person …
surveillance systems. Widespread occlusion significantly impacts the performance of person …
Re-ranking person re-identification with k-reciprocal encoding
When considering person re-identification (re-ID) as a retrieval process, re-ranking is a
critical step to improve its accuracy. Yet in the re-ID community, limited effort has been …
critical step to improve its accuracy. Yet in the re-ID community, limited effort has been …
A portable three-dimensional LIDAR-based system for long-term and wide-area people behavior measurement
It is important to measure and analyze people behavior to design systems which interact
with people. This article describes a portable people behavior measurement system using a …
with people. This article describes a portable people behavior measurement system using a …
Person re-identification: Past, present and future
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 …
application and research significance. It aims at spotting a person of interest in other …
Scalable person re-identification: A benchmark
This paper contributes a new high quality dataset for person re-identification, named" Market-
1501". Generally, current datasets: 1) are limited in scale; 2) consist of hand-drawn bboxes …
1501". Generally, current datasets: 1) are limited in scale; 2) consist of hand-drawn bboxes …
Using AI and social media multimodal content for disaster response and management: Opportunities, challenges, and future directions
Abstract People increasingly use Social Media (SM) platforms such as Twitter and Facebook
during disasters and emergencies to post situational updates including reports of injured or …
during disasters and emergencies to post situational updates including reports of injured or …
A survey of open-world person re-identification
Person re-identification (re-ID) has been a popular topic in computer vision and pattern
recognition communities for a decade. Several important milestones such as metric-based …
recognition communities for a decade. Several important milestones such as metric-based …
Person re-identification using kernel-based metric learning methods
Re-identification of individuals across camera networks with limited or no overlapping fields
of view remains challenging in spite of significant research efforts. In this paper, we propose …
of view remains challenging in spite of significant research efforts. In this paper, we propose …
A two stream siamese convolutional neural network for person re-identification
Person re-identification is an important task in video surveillance systems. It can be formally
defined as establishing the correspondence between images of a person taken from …
defined as establishing the correspondence between images of a person taken from …