h1

h2

h3

h4

h5
h6
http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

; ; ; ; ; ; ; ; ;

In
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition : New Orleans, Louisiana, 19-24 June 2022 : proceedings / general chairs: Rama Chellappa, Jiri Matas, Long Quan, Mubarak Shah, Seiten/Artikel-Nr: 19576-19585

Konferenz/Event:IEEE/CVF Conference on Computer Vision and Pattern Recognition , New Orleans, LA , USA , CVPR 2022 , 2022-06-18 - 2022-06-24

ImpressumPiscataway, NJ : IEEE

Umfang19576-19585

ISBN978-1-6654-6946-3, 978-1-6654-6947-0

Online
DOI: 10.1109/CVPR52688.2022.01899


Einrichtungen

  1. Lehrstuhl und Institut für Getriebetechnik, Maschinendynamik und Robotik (411910)



Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85143262098
WOS Core Collection: WOS:000870783005040
OpenAlex: W4312743914

Interne Identnummern
RWTH-2023-00563
Datensatz-ID: 862823

Beteiligte Länder
Germany, Peoples R China, USA

 GO

QR Code for this record

The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Mechanical Engineering (Fac.4)
Public records
Publications database
411910
 Record created 2023-01-16, last modified 2026-09-09
Similar records



Rate this document:

Rate this document:
1
2
3
4
5
 
(Not yet reviewed)