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
Unsupervised approach for building non-parametric backgroun..:
, In:
Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
,
Martel-Brisson, Nicolas
;
Zaccarin, André
- p. 93-100 , 2008
Link:
https://dl.acm.org/doi/10.1145/1461893.1461910
RT T1
Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
: T1
Unsupervised approach for building non-parametric background and foreground models of scenes with significant foreground activity
UL https://suche.suub.uni-bremen.de/peid=acm-1461910&Exemplar=1&LAN=DE A1 Martel-Brisson, Nicolas A1 Zaccarin, André PB ACM YR 2008 K1 background subtraction K1 kde K1 low level segmentation K1 non-parametric estimation K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Interest point and salient region detections SP 93 OP 100 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/1461893.1461910 DO https://dl.acm.org/doi/10.1145/1461893.1461910 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)