Results 11 to 20 of about 1,229,322 (315)

Person Re-identification in the Wild [PDF]

open access: green2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
We present a novel large-scale dataset and comprehensive baselines for end-to-end pedestrian detection and person recognition in raw video frames. Our baselines address three issues: the performance of various combinations of detectors and recognizers, mechanisms for pedestrian detection to help improve overall re-identification accuracy and assessing ...
Qi Tian   +5 more
openaire   +5 more sources

Person Re-identification by Attributes [PDF]

open access: bronzeProcedings of the British Machine Vision Conference 2012, 2012
Visually identifying a target individual reliably in a crowded environment observed by a distributed camera network is critical to a variety of tasks in managing business information, border control, and crime prevention. Automatic re-identification of a human candidate from public space CCTV video is challenging due to spatiotemporal visual feature ...
Ryan Layne   +2 more
openaire   +3 more sources

Person Re-identification with Correspondence Structure Learning [PDF]

open access: green, 2015
This paper addresses the problem of handling spatial misalignments due to camera-view changes or human-pose variations in person re-identification. We first introduce a boosting-based approach to learn a correspondence structure which indicates the patch-
Lin, Weiyao   +5 more
core   +3 more sources

Person Re-identification by Local Maximal Occurrence Representation and Metric Learning [PDF]

open access: green, 2015
Person re-identification is an important technique towards automatic search of a person's presence in a surveillance video. Two fundamental problems are critical for person re-identification, feature representation and metric learning.
Hu, Yang   +3 more
core   +2 more sources

Human Semantic Parsing for Person Re-identification [PDF]

open access: green2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Person re-identification is a challenging task mainly due to factors such as background clutter, pose, illumination and camera point of view variations. These elements hinder the process of extracting robust and discriminative representations, hence preventing different identities from being successfully distinguished.
Kalayeh, Mahdi M.   +4 more
openaire   +7 more sources

Person Re-identification in Identity Regression Space [PDF]

open access: hybridInternational Journal of Computer Vision, 2018
accepted by International Journal of Computer Vision (IJCV)
Hanxiao Wang   +3 more
openaire   +5 more sources

Person Re-Identification in Aerial Imagery [PDF]

open access: yesIEEE Transactions on Multimedia, 2021
Nowadays, with the rapid development of consumer Unmanned Aerial Vehicles (UAVs), visual surveillance by utilizing the UAV platform has been very attractive. Most of the research works for UAV captured visual data are mainly focused on the tasks of object detection and tracking.
Shizhou Zhang   +6 more
openaire   +4 more sources

Multi‐granularity re‐ranking for visible‐infrared person re‐identification

open access: yesCAAI Transactions on Intelligence Technology, 2023
Visible‐infrared person re‐identification (VI‐ReID) is a supplementary task of single‐modality re‐identification, which makes up for the defect of conventional re‐identification under insufficient illumination. It is more challenging than single‐modality
Yadi Wang   +3 more
doaj   +1 more source

Faster Person Re-identification [PDF]

open access: yes, 2020
Fast person re-identification (ReID) aims to search person images quickly and accurately. The main idea of recent fast ReID methods is the hashing algorithm, which learns compact binary codes and performs fast Hamming distance and counting sort. However, a very long code is needed for high accuracy (e.g. 2048), which compromises search speed.
Jian Cheng   +5 more
openaire   +4 more sources

Gait recognition for person re-identification [PDF]

open access: yesThe Journal of Supercomputing, 2020
AbstractPerson re-identification across multiple cameras is an essential task in computer vision applications, particularly tracking the same person in different scenes. Gait recognition, which is the recognition based on the walking style, is mostly used for this purpose due to that human gait has unique characteristics that allow recognizing a person
Elharrouss O.   +3 more
openaire   +5 more sources

Home - About - Disclaimer - Privacy