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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 (up) UAB Divulga Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  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  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
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  Area Expedition Conference  
  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 (up) UAB Divulga Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  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)  
  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 spreading;ADAS Approved no  
  Call Number ADAS @ adas @ GeL2010b Serial 1473  
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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 (up) UAB Divulga – Revista de divulgacion cientifica Abbreviated Journal  
  Volume Issue Pages  
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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)  
  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 @ SeL2010 Serial 1430  
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Author Daniel Ponsa; Antonio Lopez edit  openurl
  Title Seguimiento Visual de Contornos Computerizado Type Miscellaneous
  Year 2009 Publication (up) 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 (up) 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 (up) 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 (up) 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 Simone Balocco; Carlo Gatta; Oriol Pujol; J. Mauri; Petia Radeva edit  doi
openurl 
  Title SRBF: Speckle Reducing Bilateral Filtering Type Journal Article
  Year 2010 Publication (up) Ultrasound in Medicine and Biology Abbreviated Journal UMB  
  Volume 36 Issue 8 Pages 1353-1363  
  Keywords  
  Abstract Speckle noise negatively affects medical ultrasound image shape interpretation and boundary detection. Speckle removal filters are widely used to selectively remove speckle noise without destroying important image features to enhance object boundaries. In this article, a fully automatic bilateral filter tailored to ultrasound images is proposed. The edge preservation property is obtained by embedding noise statistics in the filter framework. Consequently, the filter is able to tackle the multiplicative behavior modulating the smoothing strength with respect to local statistics. The in silico experiments clearly showed that the speckle reducing bilateral filter (SRBF) has superior performances to most of the state of the art filtering methods. The filter is tested on 50 in vivo US images and its influence on a segmentation task is quantified. The results using SRBF filtered data sets show a superior performance to using oriented anisotropic diffusion filtered images. This improvement is due to the adaptive support of SRBF and the embedded noise statistics, yielding a more homogeneous smoothing. SRBF results in a fully automatic, fast and flexible algorithm potentially suitable in wide ranges of speckle noise sizes, for different medical applications (IVUS, B-mode, 3-D matrix array US).  
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  Notes MILAB;HUPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ BGP2010 Serial 1314  
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Author Marina Alberti; Simone Balocco; Xavier Carrillo; Josefina Mauri; Petia Radeva edit  url
doi  openurl
  Title Automatic non-rigid temporal alignment of IVUS sequences: method and quantitative validation Type Journal Article
  Year 2013 Publication (up) Ultrasound in Medicine and Biology Abbreviated Journal UMB  
  Volume 39 Issue 9 Pages 1698-712  
  Keywords Intravascular ultrasound; Dynamic time warping; Non-rigid alignment; Sequence matching; Partial overlapping strategy  
  Abstract Clinical studies on atherosclerosis regression/progression performed by intravascular ultrasound analysis would benefit from accurate alignment of sequences of the same patient before and after clinical interventions and at follow-up. In this article, a methodology for automatic alignment of intravascular ultrasound sequences based on the dynamic time warping technique is proposed. The non-rigid alignment is adapted to the specific task by applying it to multidimensional signals describing the morphologic content of the vessel. Moreover, dynamic time warping is embedded into a framework comprising a strategy to address partial overlapping between acquisitions and a term that regularizes non-physiologic temporal compression/expansion of the sequences. Extensive validation is performed on both synthetic and in vivo data. The proposed method reaches alignment errors of approximately 0.43 mm for pairs of sequences acquired during the same intervention phase and 0.77 mm for pairs of sequences acquired at successive intervention stages.  
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  Notes MILAB Approved no  
  Call Number Admin @ si @ ABC2013 Serial 2313  
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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 (up) 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 German Barquero; Johnny Nuñez; Sergio Escalera; Zhen Xu; Wei-Wei Tu; Isabelle Guyon edit  url
openurl 
  Title Didn’t see that coming: a survey on non-verbal social human behavior forecasting Type Conference Article
  Year 2022 Publication (up) Understanding Social Behavior in Dyadic and Small Group Interactions Abbreviated Journal  
  Volume 173 Issue Pages 139-178  
  Keywords  
  Abstract Non-verbal social human behavior forecasting has increasingly attracted the interest of the research community in recent years. Its direct applications to human-robot interaction and socially-aware human motion generation make it a very attractive field. In this survey, we define the behavior forecasting problem for multiple interactive agents in a generic way that aims at unifying the fields of social signals prediction and human motion forecasting, traditionally separated. We hold that both problem formulations refer to the same conceptual problem, and identify many shared fundamental challenges: future stochasticity, context awareness, history exploitation, etc. We also propose a taxonomy that comprises
methods published in the last 5 years in a very informative way and describes the current main concerns of the community with regard to this problem. In order to promote further research on this field, we also provide a summarized and friendly overview of audiovisual datasets featuring non-acted social interactions. Finally, we describe the most common metrics used in this task and their particular issues.
 
  Address Virtual; June 2022  
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  Area Expedition Conference PMLR  
  Notes HuPBA; no proj Approved no  
  Call Number Admin @ si @ BNE2022 Serial 3766  
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Author Adam Fodor; Rachid R. Saboundji; Julio C. S. Jacques Junior; Sergio Escalera; David Gallardo Pujol; Andras Lorincz edit  url
openurl 
  Title Multimodal Sentiment and Personality Perception Under Speech: A Comparison of Transformer-based Architectures Type Conference Article
  Year 2022 Publication (up) Understanding Social Behavior in Dyadic and Small Group Interactions Abbreviated Journal  
  Volume 173 Issue Pages 218-241  
  Keywords  
  Abstract Human-machine, human-robot interaction, and collaboration appear in diverse fields, from homecare to Cyber-Physical Systems. Technological development is fast, whereas real-time methods for social communication analysis that can measure small changes in sentiment and personality states, including visual, acoustic and language modalities are lagging, particularly when the goal is to build robust, appearance invariant, and fair methods. We study and compare methods capable of fusing modalities while satisfying real-time and invariant appearance conditions. We compare state-of-the-art transformer architectures in sentiment estimation and introduce them in the much less explored field of personality perception. We show that the architectures perform differently on automatic sentiment and personality perception, suggesting that each task may be better captured/modeled by a particular method. Our work calls attention to the attractive properties of the linear versions of the transformer architectures. In particular, we show that the best results are achieved by fusing the different architectures{’} preprocessing methods. However, they pose extreme conditions in computation power and energy consumption for real-time computations for quadratic transformers due to their memory requirements. In turn, linear transformers pave the way for quantifying small changes in sentiment estimation and personality perception for real-time social communications for machines and robots.  
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  Notes HuPBA; no menciona Approved no  
  Call Number Admin @ si @ FSJ2022 Serial 3769  
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Author Dustin Carrion Ojeda; Hong Chen; Adrian El Baz; Sergio Escalera; Chaoyu Guan; Isabelle Guyon; Ihsan Ullah; Xin Wang; Wenwu Zhu edit   pdf
url  openurl
  Title NeurIPS’22 Cross-Domain MetaDL competition: Design and baseline results Type Conference Article
  Year 2022 Publication (up) Understanding Social Behavior in Dyadic and Small Group Interactions Abbreviated Journal  
  Volume 191 Issue Pages 24-37  
  Keywords  
  Abstract We present the design and baseline results for a new challenge in the ChaLearn meta-learning series, accepted at NeurIPS'22, focusing on “cross-domain” meta-learning. Meta-learning aims to leverage experience gained from previous tasks to solve new tasks efficiently (i.e., with better performance, little training data, and/or modest computational resources). While previous challenges in the series focused on within-domain few-shot learning problems, with the aim of learning efficiently N-way k-shot tasks (i.e., N class classification problems with k training examples), this competition challenges the participants to solve “any-way” and “any-shot” problems drawn from various domains (healthcare, ecology, biology, manufacturing, and others), chosen for their humanitarian and societal impact. To that end, we created Meta-Album, a meta-dataset of 40 image classification datasets from 10 domains, from which we carve out tasks with any number of “ways” (within the range 2-20) and any number of “shots” (within the range 1-20). The competition is with code submission, fully blind-tested on the CodaLab challenge platform. The code of the winners will be open-sourced, enabling the deployment of automated machine learning solutions for few-shot image classification across several domains.  
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  Area Expedition Conference PMLR  
  Notes HUPBA; no menciona Approved no  
  Call Number Admin @ si @ CCB2022 Serial 3802  
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Author Fernando Vilariño; Panagiota Spyridonos; Petia Radeva; Jordi Vitria; Fernando Azpiroz; Juan Malagelada edit   pdf
url  openurl
  Title Device, system and method for measurement and analysis of contractile activity Type Patent
  Year 2009 Publication (up) US 2009/0202117 A1 Abbreviated Journal  
  Volume Issue Pages  
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  Abstract A method and system for determining intestinal dysfunction condition are provided by classifying and analyzing image frames captured in-vivo. The method and system also relate to the detection of contractile activity in intestinal tracts, to automatic detection of video image frames taken in the gastrointestinal tract including contractile activity, and more particularly to measurement and analysis of contractile activity of the GI tract based on image intensity of in vivo image data.  
  Address Pearl Cohen Zedek Latzer  
  Corporate Author Thesis  
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  ISSN ISBN Medium  
  Area 800 Expedition Conference  
  Notes MV;OR;MILAB;SIAI Approved no  
  Call Number IAM @ iam @ VSR2009 Serial 1704  
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Author Petia Radeva; Jordi Vitria; Fernando Vilariño; Panagiota Spyridonos; Fernando Azpiroz; Juan Malagelada; Fosca de Iorio; Anna Accarino edit   pdf
url  openurl
  Title Cascade analysis for intestinal contraction detection Type Patent
  Year 2009 Publication (up) US 2009/0284589 A1 Abbreviated Journal USPO  
  Volume Issue Pages 1-25  
  Keywords  
  Abstract A method and system cascade analysisi for intestinal contraction detection is provided by extracting from image frames captured in-vivo. The method and system also relate to the detection of turbid liquids in intestinal tracts, to automatic detection of video image frames taken in the gastrointestinal tract including a field of view obstructed by turbid media, and more particulary, to extraction of image data obstructed by turbid media.  
  Address  
  Corporate Author US Patent Office Thesis  
  Publisher US Patent Office Place of Publication Editor  
  Language Summary Language Original Title  
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  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes MILAB; OR; MV;SIAI Approved no  
  Call Number IAM @ iam @ RVV2009 Serial 1700  
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