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
Image stabilization algorithm based on KLT motion tracking:
, In:
2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL)
,
Yongyong, Duan
;
Xinhua, He
;
yujie, Yang
. - p. 44-47 , 2020
Link:
https://doi.org/10.1109/CVIDL51233.2020.00016
RT T1
2020 International Conference on Computer Vision, Image and Deep Learning (CVIDL)
: T1
Image stabilization algorithm based on KLT motion tracking
UL https://suche.suub.uni-bremen.de/peid=ieee-9270521&Exemplar=1&LAN=DE A1 Yongyong, Duan A1 Xinhua, He A1 yujie, Yang A1 Zongling, Wu YR 2020 K1 Motion estimation K1 Target tracking K1 Image sequences K1 Video sequences K1 Jitter K1 Cameras K1 Vibrations K1 KLT tracking algorithm K1 image stabilization K1 motion estimation SP 44 OP 47 LK http://dx.doi.org/https://doi.org/10.1109/CVIDL51233.2020.00016 DO https://doi.org/10.1109/CVIDL51233.2020.00016 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)