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Author O. Fors; A. Richichi; Xavier Otazu; J. Nuñez edit  openurl
  Title A new wavelet-based approach for the automated treatment of large sets of lunar occultation data Type Journal
  Year 2008 Publication Astronomy and Astrohysics Abbreviated Journal  
  Volume (down) 480 Issue Pages 297–304  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ FRO2008 Serial 934  
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Author Ester Fornells; Manuel De Armas; Maria Teresa Anguera; Sergio Escalera; Marcos Antonio Catalán; Josep Moya edit  openurl
  Title Desarrollo del proyecto del Consell Comarcal del Baix Llobregat “Buen Trato a las personas mayores y aquellas en situación de fragilidad con sufrimiento emocional: Hacia un envejecimiento saludable” Type Journal
  Year 2018 Publication Informaciones Psiquiatricas Abbreviated Journal  
  Volume (down) 232 Issue Pages 47-59  
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  Series Volume Series Issue Edition  
  ISSN 0210-7279 ISBN Medium  
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  Notes HUPBA; no menciona Approved no  
  Call Number Admin @ si @ FAA2018 Serial 3214  
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Author Josep Llados; J. Lopez-Krahe; D. Archambault edit  openurl
  Title Special Issue on Information Technologies for Visually Impaired People Type Journal
  Year 2007 Publication Novatica Abbreviated Journal  
  Volume (down) 186 Issue Pages 4-7  
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  Publisher Guest Editors Place of Publication Editor  
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  Notes DAG Approved no  
  Call Number DAG @ dag @ LLA2007a Serial 903  
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Author Carolina Malagelada; Fosca De Iorio; Fernando Azpiroz; Anna Accarino; Santiago Segui; Petia Radeva; Juan R. Malagelada edit  openurl
  Title New Insight Into Intestinal Motor Function via Noninvasive Endoluminal Image Analysis Type Journal
  Year 2008 Publication Gastroenterology Abbreviated Journal  
  Volume (down) 135 Issue 4 Pages 1155–1162  
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  Notes MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ MDA2008 Serial 1040  
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Author Yasuko Sugito; Trevor Canham; Javier Vazquez; Marcelo Bertalmio edit  url
doi  openurl
  Title A Study of Objective Quality Metrics for HLG-Based HDR/WCG Image Coding Type Journal
  Year 2021 Publication SMPTE Motion Imaging Journal Abbreviated Journal SMPTE  
  Volume (down) 130 Issue 4 Pages 53 - 65  
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  Abstract In this work, we study the suitability of high dynamic range, wide color gamut (HDR/WCG) objective quality metrics to assess the perceived deterioration of compressed images encoded using the hybrid log-gamma (HLG) method, which is the standard for HDR television. Several image quality metrics have been developed to deal specifically with HDR content, although in previous work we showed that the best results (i.e., better matches to the opinion of human expert observers) are obtained by an HDR metric that consists simply in applying a given standard dynamic range metric, called visual information fidelity (VIF), directly to HLG-encoded images. However, all these HDR metrics ignore the chroma components for their calculations, that is, they consider only the luminance channel. For this reason, in the current work, we conduct subjective evaluation experiments in a professional setting using compressed HDR/WCG images encoded with HLG and analyze the ability of the best HDR metric to detect perceivable distortions in the chroma components, as well as the suitability of popular color metrics (including ΔITPR , which supports parameters for HLG) to correlate with the opinion scores. Our first contribution is to show that there is a need to consider the chroma components in HDR metrics, as there are color distortions that subjects perceive but that the best HDR metric fails to detect. Our second contribution is the surprising result that VIF, which utilizes only the luminance channel, correlates much better with the subjective evaluation scores than the metrics investigated that do consider the color components.  
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  Notes CIC Approved no  
  Call Number SCV2021 Serial 3671  
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Author Sergio Escalera edit   pdf
url  openurl
  Title Multi-Modal Human Behaviour Analysis from Visual Data Sources Type Journal
  Year 2013 Publication ERCIM News journal Abbreviated Journal ERCIM  
  Volume (down) 95 Issue Pages 21-22  
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  Abstract The Human Pose Recovery and Behaviour Analysis group (HuPBA), University of Barcelona, is developing a line of research on multi-modal analysis of humans in visual data. The novel technology is being applied in several scenarios with high social impact, including sign language recognition, assisted technology and supported diagnosis for the elderly and people with mental/physical disabilities, fitness conditioning, and Human Computer Interaction.  
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  Series Volume Series Issue Edition  
  ISSN 0926-4981 ISBN Medium  
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  Notes HuPBA;MILAB Approved no  
  Call Number Admin @ si @ Esc2013 Serial 2361  
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Author Oriol Rodriguez-Leor; J. Mauri; Eduard Fernandez-Nofrerias; Antonio Tovar; Vicente del Valle; Aura Hernandez-Sabate; Debora Gil; Petia Radeva edit  openurl
  Title Utilizacion de la estructura de los campos vectoriales para la deteccion de la Adventicia en imagenes de Ecografia Intracoronaria Type Journal
  Year 2004 Publication Revista Española de Cardiología Abbreviated Journal REC  
  Volume (down) 57 Issue 2 Pages 100  
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  Area Expedition Conference SEC  
  Notes MILAB;IAM Approved no  
  Call Number BCNPCL @ bcnpcl @ RMF2004 Serial 566  
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Author Xavier Otazu; Maria Vanrell; C. Alejandro Parraga edit  openurl
  Title Multiresolution Wavelet Framework Models Brightness Induction Effects Type Journal
  Year 2008 Publication Vision Research Abbreviated Journal VR  
  Volume (down) 48 Issue 5 Pages 733–751  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ OVP2008a Serial 927  
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Author Zeynep Yucel; Albert Ali Salah; Çetin Meriçli; Tekin Meriçli; Roberto Valenti; Theo Gevers edit  doi
openurl 
  Title Joint Attention by Gaze Interpolation and Saliency Type Journal
  Year 2013 Publication IEEE Transactions on cybernetics Abbreviated Journal T-CIBER  
  Volume (down) 43 Issue 3 Pages 829-842  
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  Abstract Joint attention, which is the ability of coordination of a common point of reference with the communicating party, emerges as a key factor in various interaction scenarios. This paper presents an image-based method for establishing joint attention between an experimenter and a robot. The precise analysis of the experimenter's eye region requires stability and high-resolution image acquisition, which is not always available. We investigate regression-based interpolation of the gaze direction from the head pose of the experimenter, which is easier to track. Gaussian process regression and neural networks are contrasted to interpolate the gaze direction. Then, we combine gaze interpolation with image-based saliency to improve the target point estimates and test three different saliency schemes. We demonstrate the proposed method on a human-robot interaction scenario. Cross-subject evaluations, as well as experiments under adverse conditions (such as dimmed or artificial illumination or motion blur), show that our method generalizes well and achieves rapid gaze estimation for establishing joint attention.  
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  Series Volume Series Issue Edition  
  ISSN 2168-2267 ISBN Medium  
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  Notes ALTRES;ISE Approved no  
  Call Number Admin @ si @ YSM2013 Serial 2363  
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Author Oriol Pujol; Sergio Escalera; Petia Radeva edit  openurl
  Title An Incremental Node Embedding Technique for Error Correcting Output Codes Type Journal
  Year 2008 Publication Pattern Recognition Abbreviated Journal PR  
  Volume (down) 41 Issue 2 Pages 713–725  
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  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PER2008 Serial 942  
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Author Jordi Esquirol; Cristina Palmero; Vanessa Bayo; Miquel Angel Cos; Sergio Escalera; David Sanchez; Maider Sanchez; Noelia Serrano; Mireia Relats edit  doi
openurl 
  Title Automatic RBG-depth-pressure anthropometric analysis and individualised sleep solution prescription Type Journal
  Year 2017 Publication Journal of Medical Engineering & Technology Abbreviated Journal JMET  
  Volume (down) 41 Issue 6 Pages 486-497  
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  Abstract INTRODUCTION:
Sleep surfaces must adapt to individual somatotypic features to maintain a comfortable, convenient and healthy sleep, preventing diseases and injuries. Individually determining the most adequate rest surface can often be a complex and subjective question.
OBJECTIVES:
To design and validate an automatic multimodal somatotype determination model to automatically recommend an individually designed mattress-topper-pillow combination.
METHODS:
Design and validation of an automated prescription model for an individualised sleep system is performed through a single-image 2 D-3 D analysis and body pressure distribution, to objectively determine optimal individual sleep surfaces combining five different mattress densities, three different toppers and three cervical pillows.
RESULTS:
A final study (n = 151) and re-analysis (n = 117) defined and validated the model, showing high correlations between calculated and real data (>85% in height and body circumferences, 89.9% in weight, 80.4% in body mass index and more than 70% in morphotype categorisation).
CONCLUSIONS:
Somatotype determination model can accurately prescribe an individualised sleep solution. This can be useful for healthy people and for health centres that need to adapt sleep surfaces to people with special needs. Next steps will increase model's accuracy and analise, if this prescribed individualised sleep solution can improve sleep quantity and quality; additionally, future studies will adapt the model to mattresses with technological improvements, tailor-made production and will define interfaces for people with special needs.
 
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  Notes HUPBA; no menciona Approved no  
  Call Number Admin @ si @ EPB2017 Serial 3010  
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Author Alicia Fornes; Josep Llados; Oriol Ramos Terrades; Marçal Rusiñol edit   pdf
openurl 
  Title La Visió per Computador com a Eina per a la Interpretació Automàtica de Fonts Documentals Type Journal
  Year 2016 Publication Lligall, Revista Catalana d'Arxivística Abbreviated Journal  
  Volume (down) 39 Issue Pages 20-46  
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  Notes DAG; 600.097 Approved no  
  Call Number Admin @ si @ FLR2016 Serial 2897  
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Author J. Pladellorens; Joan Serrat; A. Castell; M.J. Yzuel edit  doi
openurl 
  Title Using mathematical morphology to determine left ventricular contours. Type Journal
  Year 1993 Publication Physics in Medicine and Biology. Abbreviated Journal  
  Volume (down) 38 Issue 12 Pages 1877––1894  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ PSC1993 Serial 146  
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Author Hugo Berti; Angel Sappa; Osvaldo Agamennoni edit  openurl
  Title Improved Dynamic Window Approach by Using Lyapunov Stability Criteria Type Journal
  Year 2008 Publication Latin American Applied Research Abbreviated Journal  
  Volume (down) 38 Issue 4 Pages 289–298  
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  Notes ADAS Approved no  
  Call Number ADAS @ adas @ BSA2008 Serial 1056  
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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 Ingeniare. Revista chilena de ingenieria Abbreviated Journal  
  Volume (down) 31 Issue 12 Pages  
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  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.
 
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  Notes MILAB Approved no  
  Call Number Admin @ si @ CAA2023 Serial 3846  
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