I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Study on Multi-Pedestrian Trajectory Tracking based on impr..:
, In:
Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology
,
Li, Ruosi
;
Yang, Chuanying
;
Shi, Bao
.. - p. 1-10 , 2023
Link:
https://dl.acm.org/doi/10.1145/3627341.3630406
RT T1
Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology
: T1
Study on Multi-Pedestrian Trajectory Tracking based on improved YOLOv5+DeepSort
UL https://suche.suub.uni-bremen.de/peid=acm-3630406&Exemplar=1&LAN=DE A1 Li, Ruosi A1 Yang, Chuanying A1 Shi, Bao A1 Ao, Legen A1 Ma, Shaoying PB ACM YR 2023 K1 Feature fusion K1 Target detection K1 Target tracking K1 Uniform acceleration model K1 Visual attention mechanism K1 Computing methodologies K1 Artificial intelligence K1 Machine learning K1 Computer vision K1 Computer vision tasks K1 Computer vision problems K1 Scene understanding K1 Tracking SP 1 OP 10 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3627341.3630406 DO https://dl.acm.org/doi/10.1145/3627341.3630406 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)