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Author Sergio Escalera; Oriol Pujol; Eric Laciar; Jordi Vitria; Esther Pueyo; Petia Radeva edit  doi
openurl 
  Title Coronary Damage Classification of Patients with the Chagas Disease with Error-Correcting Output Codes Type Conference Article
  Year 2008 Publication (down) Intelligent Systems, 4th International IEEE Conference, 6–8 setembre 2008. Abbreviated Journal  
  Volume 2 Issue Pages 12–17  
  Keywords  
  Abstract The Chagaspsila disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the Chagaspsila disease, it is important to detect and measure the coronary damage of the patient. In this paper, we analyze and categorize patients into different groups based on the coronary damage produced by the disease. Based on the features of the heart cycle extracted using high resolution ECG, a multi-class scheme of error-correcting output codes (ECOC) is formulated and successfully applied. The results show that the proposed scheme obtains significant performance improvements compared to previous works and state-of-the-art ECOC designs.  
  Address Varna (Bulgaria)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference IS’08  
  Notes MILAB; OR;HuPBA;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ EPL2008 Serial 1042  
Permanent link to this record
 

 
Author Sergio Escalera; Oriol Pujol; Eric Laciar; Jordi Vitria; Esther Pueyo; Petia Radeva edit   pdf
doi  openurl
  Title Classification of Coronary Damage in Chronic Chagasic Patients Type Book Chapter
  Year 2010 Publication (down) Intelligent Systems – From Theory to Practice. Studies in Computational Intelligence Abbreviated Journal  
  Volume 299 Issue Pages 461-478  
  Keywords Chagas disease; Error-Correcting Output Codes; High resolution ECG; Decoding  
  Abstract Post Conference IEEE-IS 2008
The Chagas’ disease is endemic in all Latin America, affecting millions of people in the continent. In order to diagnose and treat the chagas’ disease, it is important to detect and measure the coronary damage of the patient. In this paper,
we analyze and categorize patients into different groups based on the coronary damage produced by the disease. Based on the features of the heart cycle extracted using high resolution ECG, a multi-class scheme of Error-Correcting Output Codes (ECOC)is formulated and successfully applied. The results show that the proposed scheme obtains significant performance improvements compared to previous works and state-of-the-art ECOC designs.
 
  Address  
  Corporate Author Thesis  
  Publisher Springer-Verlag Place of Publication Editor V. Sgurev, M. Hadjiski (eds)  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MILAB;HUPBA;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ EPL2010 Serial 1452  
Permanent link to this record
 

 
Author Josep Llados;Horst Bunke; Enric Marti edit  url
isbn  openurl
  Title Using Cyclic String Matching to Find Rotational and Reflectional Symmetries in Shapes Type Conference Article
  Year 1997 Publication (down) Intelligent Robots: Sensing, Modeling and Planning Abbreviated Journal  
  Volume Issue Pages 164-179  
  Keywords  
  Abstract Dagstuhl Workshop  
  Address  
  Corporate Author Thesis  
  Publisher World Scientific Press Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 9810231857 Medium  
  Area Expedition Conference  
  Notes DAG;IAM; Approved no  
  Call Number IAM @ iam @ LBM1997b Serial 1563  
Permanent link to this record
 

 
Author A. Martinez; Jordi Vitria; J. Lopez edit  openurl
  Title Visual Recognition of Surroundings: A robot that knows where it is. Type Miscellaneous
  Year 1997 Publication (down) Intelligence Artificielle et Complexite. Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address Paris.  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ MVL1997 Serial 59  
Permanent link to this record
 

 
Author Gemma Sanchez; Josep Llados; Enric Marti edit  url
openurl 
  Title Segmentation and analysis of linial texture in plans Type Conference Article
  Year 1997 Publication (down) Intelligence Artificielle et Complexité. Abbreviated Journal  
  Volume Issue Pages  
  Keywords Structural Texture, Voronoi, Hierarchical Clustering, String Matching.  
  Abstract The problem of texture segmentation and interpretation is one of the main concerns in the field of document analysis. Graphical documents often contain areas characterized by a structural texture whose recognition allows both the document understanding, and its storage in a more compact way. In this work, we focus on structural linial textures of regular repetition contained in plan documents. Starting from an atributed graph which represents the vectorized input image, we develop a method to segment textured areas and recognize their placement rules. We wish to emphasize that the searched textures do not follow a predefined pattern. Minimal closed loops of the input graph are computed, and then hierarchically clustered. In this hierarchical clustering, a distance function between two closed loops is defined in terms of their areas difference and boundary resemblance computed by a string matching procedure. Finally it is noted that, when the texture consists of isolated primitive elements, the same method can be used after computing a Voronoi Tesselation of the input graph.  
  Address Paris, France  
  Corporate Author Thesis  
  Publisher Place of Publication Paris Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference AERFAI  
  Notes DAG;IAM; Approved no  
  Call Number IAM @ iam @ SLM1997 Serial 1649  
Permanent link to this record
 

 
Author Fadi Dornaika; Angel Sappa edit  openurl
  Title Real-time Vehicle Ego-Motion using Stereo Pairs and Particle Filters Type Conference Article
  Year 2007 Publication (down) Int. Conf. on Image Analysis and Recognition, Abbreviated Journal  
  Volume 4633 Issue Pages 469–480  
  Keywords  
  Abstract  
  Address Montreal (Canada)  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ DoS2007a Serial 813  
Permanent link to this record
 

 
Author Enrique Cabello; Cristina Conde; Angel Serrano; Licesio Rodriguez; David Vazquez edit   pdf
openurl 
  Title Empleo de sistemas biométricos para el reconocimiento de personas en aeropuertos Type Journal Article
  Year 2006 Publication (down) Instituto Universitario de Investigación sobre Seguridad Interior (IUSI 2006) Abbreviated Journal  
  Volume Issue Pages  
  Keywords Surveillance; Face detection; Face recognition  
  Abstract El presente proyecto se desarrolló a lo largo del año 2005, probando un prototipo de un sistema de verificación facial con imágenes extraídas de las cámaras de video vigilancia del aeropuerto de Barajas. Se diseñaron varios experimentos, agrupados en dos clases. En el primer tipo, el sistema es entrenado con imágenes obtenidas en condiciones de laboratorio y luego probado con imágenes extraídas de las cámaras de video vigilancia del aeropuerto de Barajas. En el segundo caso, tanto las imágenes de entrenamiento como las de prueba corresponden a imágenes extraídas de Barajas. Se ha desarrollado un sistema completo, que incluye adquisición y digitalización de las imágenes, localización y recorte de las caras en escena, verificación de sujetos y obtención de resultados. Los resultados muestran, que, en general, un sistema de verificación facial basado en imágenes puede ser una ayuda a un operario que deba estar vigilando amplias zonas.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes invisible;ADAS Approved no  
  Call Number ADAS @ adas @ CCS2006a Serial 1672  
Permanent link to this record
 

 
Author F.X. Perez; F. Javier Sanchez; Xavier Binefa; Xavier Roca; Jordi Vitria; Juan J. Villanueva edit  url
openurl 
  Title A mathematical morphology-based system for IC´s inspection and analysis. Type Conference Article
  Year 1993 Publication (down) Institute of Physics Conferences Series Abbreviated Journal  
  Volume 135 Issue 10 Pages 381–384  
  Keywords  
  Abstract  
  Address Bristol  
  Corporate Author Thesis  
  Publisher Institute of Physics Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MV;OR;ISE Approved no  
  Call Number BCNPCL @ bcnpcl @ PSB1993; IAM @ iam @ PSB1993 Serial 150  
Permanent link to this record
 

 
Author X. Binefa; F. Javier Sanchez; F.X. Perez; Xavier Roca; Jordi Vitria; Juan J. Villanueva edit  openurl
  Title Using defocus in optical inspection of integrated circuits Type Conference Article
  Year 1993 Publication (down) Institute of Physics Conferences Series Abbreviated Journal  
  Volume 135 Issue 10 Pages 389-392  
  Keywords  
  Abstract  
  Address Bristol  
  Corporate Author Thesis  
  Publisher Institute of Physics Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MV;OR;ISE Approved no  
  Call Number BCNPCL @ bcnpcl @ BSP1993; IAM @ iam @ BSP1993 Serial 151  
Permanent link to this record
 

 
Author Sergio Escalera; David M.J. Tax; Oriol Pujol; Petia Radeva; Robert P.W. Duin edit  doi
isbn  openurl
  Title Multi-Class Classification in Image Analysis Via Error-Correcting Output Codes Type Book Chapter
  Year 2011 Publication (down) Innovations in Intelligent Image Analysis Abbreviated Journal  
  Volume 339 Issue Pages 7-29  
  Keywords  
  Abstract A common way to model multi-class classification problems is by means of Error-Correcting Output Codes (ECOC). Given a multi-class problem, the ECOC technique designs a codeword for each class, where each position of the code identifies the membership of the class for a given binary problem.A classification decision is obtained by assigning the label of the class with the closest code. In this paper, we overview the state-of-the-art on ECOC designs and test them in real applications. Results on different multi-class data sets show the benefits of using the ensemble of classifiers when categorizing objects in images.  
  Address  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Berlin Editor H. Kawasnicka; L.Jain  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1860-949X ISBN 978-3-642-17933-4 Medium  
  Area Expedition Conference  
  Notes MILAB;HuPBA Approved no  
  Call Number Admin @ si @ ETP2011 Serial 1746  
Permanent link to this record
 

 
Author David Vazquez; Enrique Cabello edit   pdf
openurl 
  Title Empleo de sistemas biométricos faciales aplicados al reconocimiento de personas en aeropuertos Type Report
  Year 2007 Publication (down) Ingeniería Técnica en Informática de Sistemas Abbreviated Journal URJC  
  Volume Issue Pages  
  Keywords Surveillance; Face detection; Face recognition  
  Abstract El presente proyecto se desarrolló a lo largo del año 2005 y 2006, probando un prototipo de un sistema de verificación facial con imágenes extraídas de las cámaras de video-vigilancia del aeropuerto de Barajas. Se diseñaron varios experimentos, agrupados en dos clases. En el primer tipo, el sistema es entre- nado con imágenes obtenidas en condiciones de laboratorio y luego probado con imágenes extraídas de las cámaras de video-vigilancia del aeropuerto de Barajas. En el segundo caso, tanto las imágenes de entrenamiento como las de prueba corresponden a imágenes extraídas de Barajas.
Se ha desarrollado un sistema completo, que incluye adquisición y digitalización de las imágenes, localización y recorte de las caras en escena, verificación de sujetos y obtención de resultados. Los resultados muestran que, en general, un sistema de verificación facial basado en imágenes puede ser una valiosa ayuda a un operario que deba estar vigilando amplias zonas.
 
  Address  
  Corporate Author Thesis Bachelor's thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes invisible;ADAS Approved no  
  Call Number ADAS @ adas @ VC2007a Serial 1671  
Permanent link to this record
 

 
Author Roger Max Calle Quispe; Maya Aghaei Gavari; Eduardo Aguilar Torres edit  url
openurl 
  Title Towards real-time accurate safety helmets detection through a deep learning-based method Type Journal
  Year 2023 Publication (down) Ingeniare. Revista chilena de ingenieria Abbreviated Journal  
  Volume 31 Issue 12 Pages  
  Keywords  
  Abstract Occupational safety is a fundamental activity in industries and revolves around the management of the necessary controls that must be present to mitigate occupational risks. These controls include verifying the use of Personal Protection Equipment (PPE). Within PPE, safety helmets are vital to reducing severe or fatal consequences caused by head injuries. This problem has been addressed recently by various research based on deep learning to detect the usage of safety helmets by the present people in the industrial field.

These works have achieved promising results for safety helmet detection using object detection methods from the YOLO family. In this work, we propose to analyze the performance of Scaled-YOLOv4, a novel model of the YOLO family that has yet to be previously studied for this problem. The performance of the Scaled-YOLOv4 is evaluated on two public databases, carefully selected among the previously proposed datasets for the occupational safety framework. We demonstrate the superiority of Scaled-YOLOv4 in terms of mAP and Fl-score concerning the previous works for both databases. Further, we summarize the currently available datasets for safety helmet detection purposes and discuss their suitability.
 
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MILAB Approved no  
  Call Number Admin @ si @ CAA2023 Serial 3846  
Permanent link to this record
 

 
Author Marçal Rusiñol; Lluis Pere de las Heras; Oriol Ramos Terrades edit   pdf
doi  openurl
  Title Flowchart Recognition for Non-Textual Information Retrieval in Patent Search Type Journal Article
  Year 2014 Publication (down) Information Retrieval Abbreviated Journal IR  
  Volume 17 Issue 5-6 Pages 545-562  
  Keywords Flowchart recognition; Patent documents; Text/graphics separation; Raster-to-vector conversion; Symbol recognition  
  Abstract Relatively little research has been done on the topic of patent image retrieval and in general in most of the approaches the retrieval is performed in terms of a similarity measure between the query image and the images in the corpus. However, systems aimed at overcoming the semantic gap between the visual description of patent images and their conveyed concepts would be very helpful for patent professionals. In this paper we present a flowchart recognition method aimed at achieving a structured representation of flowchart images that can be further queried semantically. The proposed method was submitted to the CLEF-IP 2012 flowchart recognition task. We report the obtained results on this dataset.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1386-4564 ISBN Medium  
  Area Expedition Conference  
  Notes DAG; 600.077 Approved no  
  Call Number Admin @ si @ RHR2013 Serial 2342  
Permanent link to this record
 

 
Author W. Niessen; Antonio Lopez; W. Van Enk; P. Van Roermund; Bart M. Ter Haar Romeny; M. Viergever edit   pdf
openurl 
  Title In Vivo Analysis of Trabecular Bone Architecture. Type Miscellaneous
  Year 1997 Publication (down) Information Processing in Medical Imaging, pp. 435–440. Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ NLE1997b Serial 67  
Permanent link to this record
 

 
Author Miguel Oliveira; Victor Santos; Angel Sappa edit  doi
openurl 
  Title Multimodal Inverse Perspective Mapping Type Journal Article
  Year 2015 Publication (down) Information Fusion Abbreviated Journal IF  
  Volume 24 Issue Pages 108–121  
  Keywords Inverse perspective mapping; Multimodal sensor fusion; Intelligent vehicles  
  Abstract Over the past years, inverse perspective mapping has been successfully applied to several problems in the field of Intelligent Transportation Systems. In brief, the method consists of mapping images to a new coordinate system where perspective effects are removed. The removal of perspective associated effects facilitates road and obstacle detection and also assists in free space estimation. There is, however, a significant limitation in the inverse perspective mapping: the presence of obstacles on the road disrupts the effectiveness of the mapping. The current paper proposes a robust solution based on the use of multimodal sensor fusion. Data from a laser range finder is fused with images from the cameras, so that the mapping is not computed in the regions where obstacles are present. As shown in the results, this considerably improves the effectiveness of the algorithm and reduces computation time when compared with the classical inverse perspective mapping. Furthermore, the proposed approach is also able to cope with several cameras with different lenses or image resolutions, as well as dynamic viewpoints.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes ADAS; 600.055; 600.076 Approved no  
  Call Number Admin @ si @ OSS2015c Serial 2532  
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