ELCVIA : Electronic Letters on Computer Vision and Image Analysis
ELCVIA (ISSN electrónico 1577-5097) es una revista exclusivamente electrónica conocida a nivel internacional sobre investigación y aplicaciones de la visión por computadora y el análisis de imágenes. Su comité editorial está formado por expertos reconocidos internacionalmente. Todos los artículos son revisados por especialistas mediante peer-review y actualmente tiene un porcentaje de aceptación del 25% de los artículos recibidos. Los principales objetivos de la revista son:
  • Ser una revista de referencia a nivel internacional en el campo de la Visión por Computador.
  • Ser una publicación de calidad.
  • Ser un medio de comunicación rápido y dinámico, con una revisión rápida de los artículos.
  • Tener índice de impacto dentro de la base de datos de SCI.
Últimas adquisiciones:
2014-07-28
14:44
Robust human detection through fusion of color and infrared video / Serrano-Cuerda, Juan
This PhD thesis develops and implements a robust multisensor human detection system based on fusing the information provided after segmenting infrared and color videos.
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, : 2014
3 documents
2014-07-28
14:27
Detecting and indexing moving objects for behavior analysis by video and audio interpretation / Saggese, Alessia
In this thesis a system for analyzing moving objects behavior for surveillance applications is proposed: videos are processed in order to extract and analyze moving objects trajectories for identifying abnormal trajectories, associated to abnormal behaviors. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, : 2014
2 documents
2014-07-28
14:09
SWT voting-based color reduction method for detecting text in natural scene images / Ikica, Andrej
In our PhD thesis we give a very detailed and in-depth survey of natural scene text detection methods and propose two novel methods, namely SWT (Stroke Width Transform) voting-based color reduction method and SWT direction determination method. [...]
2014
, : 2014  
2014-07-28
11:20
Enhanced rotational feature points matching using orientation correction / Meng Goh, Kam (Universiti Teknologi Malaysia. Department of Electronics and Computer Engineering) ; Rahman Abu-Bakar, Syed Abd. (Universiti Teknologi Malaysia. Department of Electronics and Computer Engineering) ; Mokji, Musa Mohd. (Universiti Teknologi Malaysia. Department of Electronics and Computer Engineering) ; Sheikh, Usman U. (Universiti Teknologi Malaysia. Department of Electronics and Computer Engineering)
In matching between images, several techniques have been developed particularly for estimating orientation assignment in order to make feature points invariant to rotation. However, imperfect estimation of the orientation assignment may lead to feature mismatching and a low number of correctly matched points. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, : 2014  
2014-07-28
11:14
A Novel interest-point-based background subtraction algorithm / Dehghani, Alireza (Dublin City University. School of Computing) ; Sutherland, Alistair (Dublin City University. School of Computing)
Current Background Subtraction (BGS) algorithms are mostly pixel-based methods. We propose an Interest-Point(IP)-based BGS algorithm applicable in IP-based Computer Vision applications. Based on a block-wise processing strategy, the frames are divided into blocks of the same size. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, : 2014  
2014-07-28
10:35
Automated classification of cricket pitch frames in cricket video / Bananki Jayanth, Sandesh (PESIT Bangalore South Campus. Department of Information Science and Engineering) ; Srinivasa, Gowri (PESIT Bangalore South Campus. Department of Information Science and Engineering)
The automated detection of the cricket pitch in a video recording of a cricket match is a fundamental step in content-based indexing and summarization of cricket videos. In this paper, we propose visualcontent based algorithms to automate the extraction of video frames with the cricket pitch in focus. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, : 2014  
2014-07-28
10:15
Autonomous UAV for suspicious action detection using pictorial human pose estimation and classification / Penmetsa, Surya (National Institute of Technology. Department of Electronics and Communication Engineering (Warangal, India)) ; Minhuj, Fatima (National Institute of Technology. Department of Electronics and Communication Engineering (Warangal, India)) ; Singh, Amarjot (Simon Fraser University. School of Engineering Science (Burnaby, Canadà)) ; Omkar, S. N. (Indian Institute of Science. Department of Aerospace Engineering (Bangalore, India))
Visual autonomous systems capable of monitoring crowded areas and alerting the authorities in occurrence of a suspicious action can play a vital role in controlling crime rate. Previous atte mpts have been made to monitor crime using posture recognition but nothing exclusive to investigating actions of people in large populated area has been cited. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, : 2014  
2014-06-12
20:24

2 p, 5.0 MB
Semantic Awareness for Automatic Image Interpretation / Lindner, Albrecht ; Qualcomm, San Diego, USA
Finding relations between image semantics and image characteristics is a problem of long standing in computer vision, image analysis or related fields. Classic research in these fields is intended for applications that go from the image domain to the semantic domain such as face recognition or scene understanding. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 11-12
3 documents
2014-06-12
20:15

2 p, 73.4 KB
Polyp Localization and Segmentation in Colonoscopy Images by Means of a Model of Appearance for Polyps / Bernal, Jorge ; Universitat Autònoma de Barcelona. Centre de visió per computador
Colorectal cancer is the fourth most common cause of cancer death worldwide and its survival rate depends on the stage in which it is detected on hence the necessity for an early colon screening. There are several screening techniques but colonoscopy is still nowadays the gold standard, although it has some drawbacks such as the miss rate. [...]
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 9-10  
2014-06-12
20:05

2 p, 78.0 KB
Optical Flow in Driver Assistance Systems / Onkarappa, Naveen ; Samsung R&D Center, Warsaw, Poland
It is an extended abstract of the PhD thesis titled "Optical Flow in Driver Assistance Systems".
2014
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 13, Núm. 2 (2014) , p. 61-62