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Articles 73 records found  beginprevious64 - 73  jump to record: Search took 0.00 seconds. 
64.
17 p, 263.4 KB Genetic Programming for Object Detection : a Two-Phase Approach with an Improved Fitness Function / Zhang, Mengjie (Victoria University of Wellington (Wellington, Nova Zelanda). School of Mathematics, Statistics and Computer Science) ; Bhowan, Urvesh (Victoria University of Wellington (Wellington, Nova Zelanda). School of Mathematics, Statistics and Computer Science) ; Ny, Bunna (Victoria University of Wellington (Wellington, Nova Zelanda). School of Mathematics, Statistics and Computer Science)
This paper describes two innovations that improve the efficiency and effectiveness of a genetic programming approach to object detection problems. The approach uses genetic programming to construct object detection programs that are applied, in a moving window fashion, to the large images to locate the objects of interest. [...]
2007 - 10.5565/rev/elcvia.135
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 6 n. 1 (2007) p. 27-43  
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65.
15 p, 1.7 MB Detecting human heads with their orientations / Sugimoto, Akihiro (National Institute of Informatics (Tòquio, Japó)) ; Kimura, Mitsuhiro (Kyoto University. Graduate School of Informatics) ; Matsuyama, Takashi (Kyoto University. Graduate School of Informatics)
We propose a two-step method for detecting human heads with their orientations. In the first step, the method employs an ellipse as the contour model of human-head appearances to deal with wide variety of appearances. [...]
2005 - 10.5565/rev/elcvia.112
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 5 n. 3 (2005) p. 133-147  
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66.
12 p, 527.1 KB Ear Biometrics Based on Geometrical Feature Extraction / Choraś, Micha (University of Technology and Agriculture (Polònia). Institute of Telecommunication)
Biometrics identification methods proved to be very efficient, more natural and easy for users than traditional methods of human identification. In fact, only biometrics methods truly identify humans, not keys and cards they posses or passwords they should remember. [...]
2005 - 10.5565/rev/elcvia.108
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 5 n. 3 (2005) p. 84-95  
Detailed record - Creative Commons
67.
16 p, 1.5 MB Combining Particle Filter and Population-based Metaheuristics for Visual Articulated Motion Tracking / Pantrigo, Juan José (Universidad Rey Juan Carlos. Departamento de Ciencias de la Computación, Arquitectura de Computadores, Lenguajes y Sistemas Informáticos y Estadística e Investigación Operativa) ; Sánchez, Ángel (Universidad Rey Juan Carlos. Departamento de Ciencias de la Computación, Arquitectura de Computadores, Lenguajes y Sistemas Informáticos y Estadística e Investigación Operativa) ; Gianikellis, Kostas (Universidad de Extremadura. Departamento de Didáctica de la Expresión Musical, Plástica y Corporal) ; Montemayor, Antonio S. (Universidad Rey Juan Carlos. Departamento de Ciencias de la Computación, Arquitectura de Computadores, Lenguajes y Sistemas Informáticos y Estadística e Investigación Operativa)
Visual tracking of articulated motion is a complex task with high computational costs. Because of the fact that articulated objects are usually represented as a set of linked limbs, tracking is performed with the support of a model. [...]
2005 - 10.5565/rev/elcvia.107
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 5 n. 3 (2005) p. 68-83  
Detailed record - Creative Commons
68.
11 p, 440.7 KB Frequent Graph Discovery : application to Line Drawing Document Images / Barbu, Eugen (Université de Rouen. Laboratoire PSI) ; Heroux, Pierre (Université de Rouen. Laboratoire PSI) ; Adam, Sebastien (Université de Rouen. Laboratoire PSI) ; Trupin, Eric (Université de Rouen. Laboratoire PSI)
In this paper a sequence of steps is applied to a graph representation of line drawings using concepts from data mining. This process finds frequent subgraphs and then association rules between these subgraphs. [...]
2005 - 10.5565/rev/elcvia.95
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 5 n. 2 (2005) p. 47-57  
Detailed record - Creative Commons
69.
12 p, 198.3 KB Potential Fields as an External Force and Algorithmic Improvements in Deformable Models / Caro Lindo, Andrés (Universidad de Extremadura. Departamento de Informática) ; García Rodríguez, Pablo (Universidad de Extremadura. Departamento de Informática) ; Cernadas García, Eva (Universidade de Vigo. Departamento de Informática) ; Antequera Rojas, Teresa (Universidad de Extremadura. Departamento de Producción Animal y Ciencias de los Alimentos) ; Durán Martín-Merás, María Luisa (Universidad de Extremadura. Departamento de Informática)
Deformable Models are extensively used as a Pattern Recognition technique. They are curves defined within an image domain that can be moved under the influence of internal and external forces. Some trade-offs of standard deformable models algorithms are the selection of image energy function (external force), the location of initial snake and the attraction of contour points to local energy minima when the snake is being deformed. [...]
2003 - 10.5565/rev/elcvia.64
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 2 n. 1 (2003) p. 25-36  
Detailed record - Creative Commons
70.
13 p, 574.4 KB MRF-based image segmentation using Ant Colony System / Salima, Ouadfel (Mentouri University (Algèria). Computer Science Department) ; Mohamed, Batouche (Mentouri University (Algèria). Computer Science Department)
In this paper, we propose a novel method for image segmentation that we call ACS-MRF method. ACS-MRF is a hybrid ant colony system coupled with a local search. We show how a colony of cooperating ants are able to estimate the labels field and minimize the MAP estimate. [...]
2003 - 10.5565/rev/elcvia.63
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 2 n. 1 (2003) p. 12-24  
Detailed record - Creative Commons
71.
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  
Detailed record - Creative Commons
72.
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  
Detailed record - Creative Commons
73.
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  
Detailed record - Creative Commons

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