Resultats globals: 3 registres trobats en 0.05 segons.
Articles, 3 registres trobats
Articles 3 registres trobats  
1.
11 p, 2.5 MB An Appearance-Based Method for Parametric Video Registration / Orriols, Xavier (Centre de Visió per Computador (Bellaterra, Catalunya)) ; Binefa i Valls, Xavier (Centre de Visió per Computador (Bellaterra, Catalunya)) ; Barceló Dachs, Lluis (Centre de Visió per Computador (Bellaterra, Catalunya))
In this paper we address the problem of multi frame video registration using the combination of an appearance-based technique and a parametric model of the transformations. This technique uses an image that is selected as reference frame, and therefore, estimates the transformation that occurred to each frame in the sequence respect to this absolute referenced one. [...]
2003 - 10.5565/rev/elcvia.62
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 2 n. 1 (2003) p. 1-11  
2.
14 p, 590.0 KB A robust feature tracker for active surveillance of outdoor scenes / Foresti, G. L. (University of Udine (Itàlia). Departement of Mathematics and Computer Science) ; Micheloni, C. (University of Udine (Itàlia). Departement of Mathematics and Computer Science)
In this paper, we propose a robust real-time object detection system for outdoor image sequences acquired by an active camera. The system is able to compensate background changes due to the camera motion and to detect mobile objects in the scene. [...]
2002 - 10.5565/rev/elcvia.60
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 1 n. 1 (2002) p. 21-34  
3.
7 p, 26.7 KB Presentation of ELCVIA / Bunke, Horst (University of Bern. Institut für Informatik und Angewandte Mathematik) ; Villanueva Pipaón, Juan José (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació)
This paper wants to be a presentation of the e-journal Electronic Letters on Computer Vision and Image Analysis (ELCVIA). ELCVIA is a new electronic journal whose aim is to provide a forum where Computer Vision and Image Analysis researchers can discuss about methods, applications and experiences in this field. [...]
2002 - 10.5565/rev/elcvia.201
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 0 n. 0 (2002) p. 1-7  

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