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Author G. Zahnd; Simone Balocco; A. Serusclat; P. Moulin; M. Orkisz; D. Vray edit  doi
openurl 
  Title Progressive attenuation of the longitudinal kinetics in the common carotid artery: preliminary in vivo assessment Ultrasound in Medicine and Biology Type Journal Article
  Year 2015 Publication (down) Ultrasound in Medicine and Biology Abbreviated Journal UMB  
  Volume 41 Issue 1 Pages 339-345  
  Keywords Arterial stiffness; Atherosclerosis; Common carotid artery; Longitudinal kinetics; Motion tracking; Ultrasound imaging  
  Abstract Longitudinal kinetics (LOKI) of the arterial wall consists of the shearing motion of the intima-media complex over the adventitia layer in the direction parallel to the blood flow during the cardiac cycle. The aim of this study was to investigate the local variability of LOKI amplitude along the length of the vessel. By use of a previously validated motion-estimation framework, 35 in vivo longitudinal B-mode ultrasound cine loops of healthy common carotid arteries were analyzed. Results indicated that LOKI amplitude is progressively attenuated along the length of the artery, as it is larger in regions located on the proximal side of the image (i.e., toward the heart) and smaller in regions located on the distal side of the image (i.e., toward the head), with an average attenuation coefficient of -2.5 ± 2.0%/mm. Reported for the first time in this study, this phenomenon is likely to be of great importance in improving understanding of atherosclerosis mechanisms, and has the potential to be a novel index of arterial stiffness.  
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  Notes MILAB Approved no  
  Call Number Admin @ si @ ZBS2014 Serial 2556  
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Author Daniel Ponsa; Antonio Lopez edit  openurl
  Title Seguimiento Visual de Contornos Computerizado Type Miscellaneous
  Year 2009 Publication (down) UAB Divulga, Revista de divulgacion cientifica Abbreviated Journal  
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  Notes spreading;ADAS Approved no  
  Call Number ADAS @ adas @ PoL2009b Serial 1270  
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Author Angel Sappa; M.A. Garcia edit  openurl
  Title Aprendiendo a recrear la realidad en 3D Type Journal
  Year 2007 Publication (down) UAB Divulga, Revista de Divulgacion Cientifica Abbreviated Journal  
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  Notes spreading Approved no  
  Call Number ADAS @ adas @ SaG2007c Serial 1470  
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Author Joan Serrat; Ferran Diego; Felipe Lumbreras edit  openurl
  Title Los faros delanteros a traves del objetivo Type Journal
  Year 2008 Publication (down) UAB Divulga, Revista de divulgacion cientifica Abbreviated Journal  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SDL2008b Serial 1471  
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Author Carme Julia; Angel Sappa; Felipe Lumbreras edit  openurl
  Title Aprendiendo a recrear la realidad en 3D Type Journal
  Year 2008 Publication (down) UAB Divulga, Revista de divulgacion cientifica Abbreviated Journal  
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  Notes spreading;ADAS Approved no  
  Call Number ADAS @ adas @ JSL2008b Serial 1472  
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Author Joan Serrat; Antonio Lopez edit  url
openurl 
  Title Deteccion automatica de lineas de carril para la asistencia a la conduccion Type Miscellaneous
  Year 2010 Publication (down) UAB Divulga – Revista de divulgacion cientifica Abbreviated Journal  
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  Abstract La detección por cámara de las líneas de carril en las carreteras puede ser una solución asequible a los riesgos de conducción generados por los adelantamientos o las salidas de carril. Este trabajo propone un sistema que funciona en tiempo real y que obtiene muy buenos resultados. El sistema está preparado para identificar las líneas en condiciones de visibilidad poco favorables, como puede ser la conducción nocturna o con otros vehículos que dificulten la visión.  
  Address Bellaterra (Spain)  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SeL2010 Serial 1430  
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Author David Geronimo; Antonio Lopez edit  url
openurl 
  Title Deteccion de Peatones para Sistemas Avanzados de Asistencia al Conductor Type Miscellaneous
  Year 2010 Publication (down) UAB Divulga Abbreviated Journal  
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  Abstract Los sistemas de asistencia al conductor, y particularmente los sistemas de protección de peatones, representan uno de los campos de investigación más activos dedicados a la mejora de la seguridad vial. El mayor desafío es el desarrollo de sistemas a bordo fiables de detección de peatones. En esta revisión del estado de la técnica de la detección de peatones, se divide el problema en diferentes etapas, cada una con responsabilidades propias dentro del sistema. Esta división facilita el posterior análisis y discusión de cada uno de los métodos en la literatura, favoreciendo la comparación entre ellos. Finalmente se discuten los temas más importantes de este campo poniendo especial énfasis en las necesidades actuales y los desafíos futuros.  
  Address Bellaterra (Catalonia), Spain  
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  Notes spreading;ADAS Approved no  
  Call Number ADAS @ adas @ GeL2010a Serial 1414  
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Author David Geronimo; Antonio Lopez edit  url
openurl 
  Title Sistema de deteccion de peatones Type Miscellaneous
  Year 2010 Publication (down) UAB Divulga Abbreviated Journal  
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  Abstract Durante la próxima década, los sistemas de protección de peatones jugarán un papel fundamental en el reto de mejorar la seguridad viaria. El objetivo principal de estos sistemas, detectar peatones en entornos urbanos, implica procesar imágenes de escenas exteriores desde una plataforma móvil para buscar objetos de aspecto variable como son las personas. Dadas estas dificultades, estos sistemas hacen uso de las últimas técnicas de visión por computador. Esta propuesta consiste en un sistema de tres módulos basado tanto en información 2D como en 3D. El primer módulo utiliza información 3D para hacer una estimación de los parámetros de la carretera y seleccionar regiones de interés que serán analizadas después. El segundo módulo utiliza un clasificador de ventanas 2D para etiquetar las mencionadas regiones como peatón o no peatón. El módulo final vuelve a utilizar de nuevo la información 3D para verificar las regiones clasificadas y, con información 2D, refinar los resultados finales. Los resultados experimentales son positivos tanto en rendimiento como en tiempo de cómputo.  
  Address Bellaterra (Spain)  
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  Notes spreading;ADAS Approved no  
  Call Number ADAS @ adas @ GeL2010b Serial 1473  
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Author Petia Radeva; Enric Marti edit   pdf
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  Title Facial Features Segmentation by Model-Based Snakes. Type Miscellaneous
  Year 1995 Publication (down) Trobada de Joves Investigadors, IIIA. Abbreviated Journal  
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  Address Bellaterra (Barcelona), Spain  
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  Notes MILAB; IAM Approved no  
  Call Number BCNPCL @ bcnpcl @ RaM1995a Serial 130  
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Author Josep Llados; Enric Marti edit   pdf
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  Title Interpretacio de dibuixos lineals mitjançant tècniques d isomorfisme entre grafs Type Conference Article
  Year 1995 Publication (down) Trobada de Joves Investigadors Abbreviated Journal  
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  Abstract L’anàlisi de documents té com a objectiu la interpretació automàtica de documents impresos sobre paper, amb la finalitat d’obtenir una descripció simbòlica d’aquests, que permeti el seu emmagatzemament i posterior tractament computacional. Les tècniques basades en grafs relacionals d’atributs permeten representar de manera compacta la informació continguda en dibuixos lineals i mitjançant mecanismes d’isomorfisme entre grafs, reconèixer-hi certes estructures i d’aquesta manera, interpretar el document. En aquest treball es dóna una visió general de les tènciques de grafs aplicades al reconeixement visual d’objectes en problemes d’anàlisi de documents. Aquestes tècniques s’il·lustren amb un exemple de reconeixement de plànols dibuixats a mà alçada. Finalment es proposa la utilització de tècniques de Hough com a mecanisme per accelerar el procés de reconeixement aplicant un cert coneixement sobre el domini en el que es treballa  
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  Notes DAG;IAM Approved no  
  Call Number IAM @ iam @ LlM1995 Serial 1578  
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Author Diego Velazquez; Pau Rodriguez; Alexandre Lacoste; Issam H. Laradji; Xavier Roca; Jordi Gonzalez edit  url
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  Title Evaluating Counterfactual Explainers Type Journal
  Year 2023 Publication (down) Transactions on Machine Learning Research Abbreviated Journal TMLR  
  Volume Issue Pages  
  Keywords Explainability; Counterfactuals; XAI  
  Abstract Explainability methods have been widely used to provide insight into the decisions made by statistical models, thus facilitating their adoption in various domains within the industry. Counterfactual explanation methods aim to improve our understanding of a model by perturbing samples in a way that would alter its response in an unexpected manner. This information is helpful for users and for machine learning practitioners to understand and improve their models. Given the value provided by counterfactual explanations, there is a growing interest in the research community to investigate and propose new methods. However, we identify two issues that could hinder the progress in this field. (1) Existing metrics do not accurately reflect the value of an explainability method for the users. (2) Comparisons between methods are usually performed with datasets like CelebA, where images are annotated with attributes that do not fully describe them and with subjective attributes such as ``Attractive''. In this work, we address these problems by proposing an evaluation method with a principled metric to evaluate and compare different counterfactual explanation methods. The evaluation method is based on a synthetic dataset where images are fully described by their annotated attributes. As a result, we are able to perform a fair comparison of multiple explainability methods in the recent literature, obtaining insights about their performance. We make the code public for the benefit of the research community.  
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  Call Number Admin @ si @ VRL2023 Serial 3891  
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Author Daniel Ponsa; Joan Serrat; Antonio Lopez edit   pdf
doi  openurl
  Title On-board image-based vehicle detection and tracking Type Journal Article
  Year 2011 Publication (down) Transactions of the Institute of Measurement and Control Abbreviated Journal TIM  
  Volume 33 Issue 7 Pages 783-805  
  Keywords vehicle detection  
  Abstract In this paper we present a computer vision system for daytime vehicle detection and localization, an essential step in the development of several types of advanced driver assistance systems. It has a reduced processing time and high accuracy thanks to the combination of vehicle detection with lane-markings estimation and temporal tracking of both vehicles and lane markings. Concerning vehicle detection, our main contribution is a frame scanning process that inspects images according to the geometry of image formation, and with an Adaboost-based detector that is robust to the variability in the different vehicle types (car, van, truck) and lighting conditions. In addition, we propose a new method to estimate the most likely three-dimensional locations of vehicles on the road ahead. With regards to the lane-markings estimation component, we have two main contributions. First, we employ a different image feature to the other commonly used edges: we use ridges, which are better suited to this problem. Second, we adapt RANSAC, a generic robust estimation method, to fit a parametric model of a pair of lane markings to the image features. We qualitatively assess our vehicle detection system in sequences captured on several road types and under very different lighting conditions. The processed videos are available on a web page associated with this paper. A quantitative evaluation of the system has shown quite accurate results (a low number of false positives and negatives) at a reasonable computation time.  
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  Call Number ADAS @ adas @ PSL2011 Serial 1413  
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Author Salvatore Tabbone; Josep Llados edit  openurl
  Title A Propos de la Reconnaissance de Documents Graphiques: Synthese et Perspectives Type Conference Article
  Year 2007 Publication (down) Traitement et Analyse de l’Information: Methodes et Applications Abbreviated Journal  
  Volume Issue Pages 247–258  
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  Address Hammamet (Tunis)  
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  Area Expedition Conference TAIMA’07  
  Notes DAG Approved no  
  Call Number DAG @ dag @ TaL2007 Serial 890  
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Author Carles Fernandez; Jordi Gonzalez; Joao Manuel R. S. Taveres; Xavier Roca edit   pdf
doi  isbn
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  Title Towards Ontological Cognitive System Type Book Chapter
  Year 2013 Publication (down) Topics in Medical Image Processing and Computational Vision Abbreviated Journal  
  Volume 8 Issue Pages 87-99  
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  Abstract The increasing ubiquitousness of digital information in our daily lives has positioned video as a favored information vehicle, and given rise to an astonishing generation of social media and surveillance footage. This raises a series of technological demands for automatic video understanding and management, which together with the compromising attentional limitations of human operators, have motivated the research community to guide its steps towards a better attainment of such capabilities. As a result, current trends on cognitive vision promise to recognize complex events and self-adapt to different environments, while managing and integrating several types of knowledge. Future directions suggest to reinforce the multi-modal fusion of information sources and the communication with end-users.  
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  Publisher Springer Netherlands Place of Publication Editor  
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  ISSN 2212-9391 ISBN 978-94-007-0725-2 Medium  
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  Notes ISE; 605.203; 302.018; 600.049 Approved no  
  Call Number Admin @ si @ FGT2013 Serial 2287  
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Author V. Kober; Mikhail Mozerov; J. Alvarez-Borrego; I.A. Ovseyevich edit  openurl
  Title Pattern Recognition of Fragmented Objects with Adaptive Correlation Filters Type Miscellaneous
  Year 2006 Publication (down) Topical Meeting on Optoinformatics / Information Photonics, 150–151 Abbreviated Journal  
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  Address Saint-Petersburg (Russia)  
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  Notes ISE Approved no  
  Call Number ISE @ ise @ KMA2006b Serial 674  
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