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Author Fadi Dornaika; Francisco Javier Orozco; Jordi Gonzalez edit  openurl
  Title Combined Head, Lips, Eyebrows, and Eyelids Tracking Using Adaptive Appearance Models Type Book Chapter
  Year 2006 Publication IV Conference on Articulated Motion and Deformable Objects (AMDO´06), LNCS 4069: 110–119 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (down) Mallorca (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 Approved no  
  Call Number ISE @ ise @ DOG2006 Serial 687  
Permanent link to this record
 

 
Author Ivan Huerta; Dani Rowe; Jordi Gonzalez; Juan J. Villanueva edit  openurl
  Title Efficient Incorporation of Motionless Foreground Objects for Adaptive Background Segmentation Type Book Chapter
  Year 2006 Publication IV Conference on Articulated Motion and Deformable Objects (AMDO´06), LNCS 4069: 424–433 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (down) Mallorca (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 Approved no  
  Call Number ISE @ ise @ HRG2006a Serial 702  
Permanent link to this record
 

 
Author Ignasi Rius; X. Varona; Xavier Roca; Jordi Gonzalez edit  openurl
  Title Posture Constraints for Bayesian Human Motion Tracking Type Book Chapter
  Year 2006 Publication IV Conference on Articulated Motion and Deformable Objects (AMDO´06), LNCS 4069: 414–423 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (down) Mallorca (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 ISE Approved no  
  Call Number ISE @ ise @ RVR2006 Serial 720  
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Author Albert Clapes; Miguel Reyes; Sergio Escalera edit   pdf
doi  isbn
openurl 
  Title User Identification and Object Recognition in Clutter Scenes Based on RGB-Depth Analysis Type Conference Article
  Year 2012 Publication 7th Conference on Articulated Motion and Deformable Objects Abbreviated Journal  
  Volume 7378 Issue Pages 1-11  
  Keywords  
  Abstract We propose an automatic system for user identification and object recognition based on multi-modal RGB-Depth data analysis. We model a RGBD environment learning a pixel-based background Gaussian distribution. Then, user and object candidate regions are detected and recognized online using robust statistical approaches over RGBD descriptions. Finally, the system saves the historic of user-object assignments, being specially useful for surveillance scenarios. The system has been evaluated on a novel data set containing different indoor/outdoor scenarios, objects, and users, showing accurate recognition and better performance than standard state-of-the-art approaches.  
  Address (down) Mallorca  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title LNCS  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-31566-4 Medium  
  Area Expedition Conference AMDO  
  Notes HUPBA;MILAB Approved no  
  Call Number Admin @ si @ CRE2012 Serial 2010  
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Author Wenjuan Gong; Jordi Gonzalez; Joao Manuel R. S. Taveres; Xavier Roca edit  doi
isbn  openurl
  Title A New Image Dataset on Human Interactions Type Conference Article
  Year 2012 Publication 7th Conference on Articulated Motion and Deformable Objects Abbreviated Journal  
  Volume 7378 Issue Pages 204-209  
  Keywords  
  Abstract This article describes a new collection of still image dataset which are dedicated to interactions between people. Human action recognition from still images have been a hot topic recently, but most of them are actions performed by a single person, like running, walking, riding bikes, phoning and so on and there is no interactions between people in one image. The dataset collected in this paper are concentrating on human interaction between two people aiming to explore this new topic in the research area of action recognition from still images.  
  Address (down) Mallorca  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-31566-4 Medium  
  Area Expedition Conference AMDO  
  Notes ISE Approved no  
  Call Number Admin @ si @ GGT2012 Serial 2030  
Permanent link to this record
 

 
Author Sergio Escalera edit  doi
isbn  openurl
  Title Human Behavior Analysis From Depth Maps Type Conference Article
  Year 2012 Publication 7th Conference on Articulated Motion and Deformable Objects Abbreviated Journal  
  Volume 7378 Issue Pages 282-292  
  Keywords  
  Abstract Pose Recovery (PR) and Human Behavior Analysis (HBA) have been a main focus of interest from the beginnings of Computer Vision and Machine Learning. PR and HBA were originally addressed by the analysis of still images and image sequences. More recent strategies consisted of Motion Capture technology (MOCAP), based on the synchronization of multiple cameras in controlled environments; and the analysis of depth maps from Time-of-Flight (ToF) technology, based on range image recording from distance sensor measurements. Recently, with the appearance of the multi-modal RGBD information provided by the low cost Kinect \textsfTM sensor (from RGB and Depth, respectively), classical methods for PR and HBA have been redefined, and new strategies have been proposed. In this paper, the recent contributions and future trends of multi-modal RGBD data analysis for PR and HBA are reviewed and discussed.  
  Address (down) Mallorca  
  Corporate Author Thesis  
  Publisher Springer Heidelberg Place of Publication Editor F.J. Perales; R.B. Fisher; T.B. Moeslund  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-31566-4 Medium  
  Area Expedition Conference AMDO  
  Notes MILAB; HuPBA Approved no  
  Call Number Admin @ si @ Esc2012 Serial 2040  
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Author Xavier Perez; Cecilio Angulo; Sergio Escalera edit  doi
isbn  openurl
  Title Biologically Inspired Path Execution Using SURF Flow in Robot Navigation Type Conference Article
  Year 2011 Publication 11th International Work Conference on Artificial Neural Networks Abbreviated Journal  
  Volume II Issue Pages 581--588  
  Keywords  
  Abstract An exportable and robust system using only camera images is proposed for path execution in robot navigation. Motion information is extracted in the form of optical flow from SURF robust descriptors of consecutive frames, so the method is called SURF flow. This information is used to correct robot displacement when a straight forward path command is sent to the robot, but it is not really executed due to several robot and environmental concerns. The proposed system has been successfully tested on the legged robot Aibo.  
  Address (down) Malaga  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0302-9743 ISBN 978-3-642-21497-4 Medium  
  Area Expedition Conference IWANN  
  Notes HuPBA;MILAB Approved no  
  Call Number Admin @ si @ PAE2011b Serial 1773  
Permanent link to this record
 

 
Author Alicia Fornes; Josep Llados; Joan Mas; Joana Maria Pujadas-Mora; Anna Cabre edit   pdf
doi  isbn
openurl 
  Title A Bimodal Crowdsourcing Platform for Demographic Historical Manuscripts Type Conference Article
  Year 2014 Publication Digital Access to Textual Cultural Heritage Conference Abbreviated Journal  
  Volume Issue Pages 103-108  
  Keywords  
  Abstract In this paper we present a crowdsourcing web-based application for extracting information from demographic handwritten document images. The proposed application integrates two points of view: the semantic information for demographic research, and the ground-truthing for document analysis research. Concretely, the application has the contents view, where the information is recorded into forms, and the labeling view, with the word labels for evaluating document analysis techniques. The crowdsourcing architecture allows to accelerate the information extraction (many users can work simultaneously), validate the information, and easily provide feedback to the users. We finally show how the proposed application can be extended to other kind of demographic historical manuscripts.  
  Address (down) Madrid; May 2014  
  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 978-1-4503-2588-2 Medium  
  Area Expedition Conference DATeCH  
  Notes DAG; 600.061; 602.006; 600.077 Approved no  
  Call Number Admin @ si @ FLM2014 Serial 2516  
Permanent link to this record
 

 
Author Eduardo Aguilar; Petia Radeva edit  url
doi  openurl
  Title Food Recognition by Integrating Local and Flat Classifiers Type Conference Article
  Year 2019 Publication 9th Iberian Conference on Pattern Recognition and Image Analysis Abbreviated Journal  
  Volume 11867 Issue Pages 65-74  
  Keywords  
  Abstract The recognition of food image is an interesting research topic, in which its applicability in the creation of nutritional diaries stands out with the aim of improving the quality of life of people with a chronic disease (e.g. diabetes, heart disease) or prone to acquire it (e.g. people with overweight or obese). For a food recognition system to be useful in real applications, it is necessary to recognize a huge number of different foods. We argue that for very large scale classification, a traditional flat classifier is not enough to acquire an acceptable result. To address this, we propose a method that performs prediction with local classifiers, based on a class hierarchy, or with flat classifier. We decide which approach to use, depending on the analysis of both the Epistemic Uncertainty obtained for the image in the children classifiers and the prediction of the parent classifier. When our criterion is met, the final prediction is obtained with the respective local classifier; otherwise, with the flat classifier. From the results, we can see that the proposed method improves the classification performance compared to the use of a single flat classifier.  
  Address (down) Madrid; July 2019  
  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 IbPRIA  
  Notes MILAB; no proj Approved no  
  Call Number Admin @ si @ AgR2019b Serial 3369  
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Author Gemma Rotger; Francesc Moreno-Noguer; Felipe Lumbreras; Antonio Agudo edit  doi
openurl 
  Title Single view facial hair 3D reconstruction Type Conference Article
  Year 2019 Publication 9th Iberian Conference on Pattern Recognition and Image Analysis Abbreviated Journal  
  Volume 11867 Issue Pages 423-436  
  Keywords 3D Vision; Shape Reconstruction; Facial Hair Modeling  
  Abstract n this work, we introduce a novel energy-based framework that addresses the challenging problem of 3D reconstruction of facial hair from a single RGB image. To this end, we identify hair pixels over the image via texture analysis and then determine individual hair fibers that are modeled by means of a parametric hair model based on 3D helixes. We propose to minimize an energy composed of several terms, in order to adapt the hair parameters that better fit the image detections. The final hairs respond to the resulting fibers after a post-processing step where we encourage further realism. The resulting approach generates realistic facial hair fibers from solely an RGB image without assuming any training data nor user interaction. We provide an experimental evaluation on real-world pictures where several facial hair styles and image conditions are observed, showing consistent results and establishing a comparison with respect to competing approaches.  
  Address (down) Madrid; July 2019  
  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 IbPRIA  
  Notes ADAS; 600.086; 600.130; 600.122 Approved no  
  Call Number Admin @ si @ Serial 3707  
Permanent link to this record
 

 
Author M.Gomez; J.Mauri; E.Fernandez-Nofrerias; O. Rodriguez-Leor; C Julia; Misael Rosales; Petia Radeva edit  openurl
  Title Modelo fisico para la simulacion de ultrasonido Intravascular. Type Journal
  Year 2002 Publication XXXVIII Congreso Nacional de la Sociedad Española de Cardiologia. Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (down) Madrid, Espanya  
  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 BCNPCL @ bcnpcl @ GMF2002b Serial 308  
Permanent link to this record
 

 
Author M.Gomez; J.Mauri; E.Fernandez-Nofrerias; O.Rodriguez-Leor; C.Julia; Petia Radeva; David Rotger; V.Valle edit  openurl
  Title Nuevos Avances para la correlacion de imagenes angiograficas y de ecograia intracoronaria. Type Miscellaneous
  Year 2002 Publication Congreso de las Enfermedades Cardiovasculares, XXXVIII Congreso de la Sociedad Española de Cardiologia. Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (down) Madrid, Espanya  
  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 BCNPCL @ bcnpcl @ GMF2002c Serial 309  
Permanent link to this record
 

 
Author Robert Benavente; Maria Vanrell edit  openurl
  Title Parametrizacion del Espacio de Categorias de Color Type Miscellaneous
  Year 2007 Publication Proceedings del VIII Congreso Nacional del Color Abbreviated Journal  
  Volume Issue Pages 77–78  
  Keywords  
  Abstract  
  Address (down) Madrid (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 CNC’07  
  Notes CAT;CIC Approved no  
  Call Number CAT @ cat @ BeV2007 Serial 905  
Permanent link to this record
 

 
Author Jorge Bernal; F. Javier Sanchez; Fernando Vilariño edit   pdf
openurl 
  Title Reduction of Pattern Search Area in Colonoscopy Images by Merging Non-Informative Regions Type Conference Article
  Year 2010 Publication 28th Congreso Anual de la Sociedad Española de Ingeniería Biomédica Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract One of the first usual steps in pattern recognition schemas is image segmentation, in order to reduce the dimensionality of the problem and manage smaller quantity of data. In our case as we are pursuing real-time colon cancer polyp detection, this step is crucial. In this paper we present a non-informative region estimation algorithm that will let us discard some parts of the image where we will not expect to find colon cancer polyps. The performance of our approach will be measured in terms of both non-informative areas elimination and polyps’ areas preserving. The results obtained show the importance of having correct non- informative region estimation in order to fasten the whole recognition process.  
  Address (down) Madrid (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 800 Expedition Conference CASEIB  
  Notes MV;SIAI Approved no  
  Call Number Admin @ si @ BSV2010 Serial 1469  
Permanent link to this record
 

 
Author Gloria Fernandez Esparrach; Jorge Bernal; Cristina Rodriguez de Miguel; Debora Gil; Fernando Vilariño; Henry Cordova; Cristina Sanchez Montes; Isis Ara edit  openurl
  Title Utilidad de la visión por computador para la localización de pólipos pequeños y planos Type Conference Article
  Year 2016 Publication XIX Reunión Nacional de la Asociación Española de Gastroenterología, Gastroenterology Hepatology Abbreviated Journal  
  Volume 39 Issue 2 Pages 94  
  Keywords  
  Abstract  
  Address (down) Madrid (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 AEGASTRO  
  Notes MV; IAM; 600.097;SIAI Approved no  
  Call Number Admin @ si @FBR2016 Serial 2779  
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