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
A Moving Target Tracking Technology for Intelligent Police ..:
, In:
2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL)
,
Dang, LongFei.
;
Yang, Miao.
;
Yi, Kai.
. - p. 353-357 , 2023
Link:
https://doi.org/10.1109/CVIDL58838.2023.10166744
RT T1 <cTitle>2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL)</cTitle>: T1 <Title>A Moving Target Tracking Technology for Intelligent Police Based on Kalman Filter Method</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10166744&Exemplar=1&LAN=DE A1 Dang, LongFei. A1 Yang, Miao. A1 Yi, Kai. A1 Si, Binghe. YR 2023 K1 Visualization K1 Target tracking K1 Filtering K1 Law enforcement K1 Object detection K1 Trajectory K1 Safety K1 Moving Target K1 Motion tracking K1 Kalman filtering SP 353 OP 357 LK http://dx.doi.org/https://doi.org/10.1109/CVIDL58838.2023.10166744 DO https://doi.org/10.1109/CVIDL58838.2023.10166744 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
