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Author Wenjuan Gong edit  openurl
  Title Action priors for human pose tracking by particle filter Type Report
  Year 2009 Publication CVC Technical Report Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract (up)  
  Address  
  Corporate Author Computer Vision Center Thesis Master's thesis  
  Publisher Place of Publication Bellaterra, Barcelona 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 Admin @ si @ Gon2009 Serial 2401  
Permanent link to this record
 
 
Author Diego Alejandro Cheda edit  openurl
  Title Monocular egomotion estimation for ADAS application Type Report
  Year 2009 Publication CVC Technical Report Abbreviated Journal  
  Volume 148 Issue Pages  
  Keywords  
  Abstract (up)  
  Address  
  Corporate Author Computer Vision Center Thesis Ph.D. thesis  
  Publisher Place of Publication Bellaterra, Barcelona 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 Admin @ si @ Che2009 Serial 2402  
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Author Javier Marin edit  openurl
  Title Virtual learning for real testing Type Report
  Year 2009 Publication CVC Technical Report Abbreviated Journal  
  Volume 150 Issue Pages  
  Keywords  
  Abstract (up)  
  Address  
  Corporate Author Computer Vision Center Thesis Master's thesis  
  Publisher Place of Publication bell 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 Admin @ si @ Mar2009c Serial 2403  
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Author Fernando Vilariño; Stephan Ameling; Gerard Lacey; Stephen Patchett; Hugh Mulcahy edit  openurl
  Title Eye Tracking Search Patterns in Expert and Trainee Colonoscopists: A Novel Method of Assessing Endoscopic Competency? Type Journal Article
  Year 2009 Publication Gastrointestinal Endoscopy Abbreviated Journal GI  
  Volume 69 Issue 5 Pages 370  
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  ISSN ISBN Medium  
  Area 800 Expedition Conference  
  Notes MV;SIAI Approved no  
  Call Number fernando @ fernando @ Serial 2420  
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Author Mirko Arnold; Anarta Ghosh; Gerard Lacey; Stephen Patchett; Hugh Mulcahy edit  openurl
  Title Indistinct frame detection in colonoscopy videos Type Conference Article
  Year 2009 Publication Machine Vision and Image Processing Conference Abbreviated Journal  
  Volume Issue Pages 47-52  
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  ISSN ISBN Medium  
  Area 800 Expedition Conference  
  Notes MV Approved no  
  Call Number fernando @ fernando @ Serial 2424  
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Author Stefan Ameling; Stephan Wirth; Dietrich Paulus; Gerard Lacey; Fernando Vilariño edit  openurl
  Title Texture-based Polyp Detection in Colonoscopy Type Journal Article
  Year 2009 Publication Proc. BILDVERARBEITUNG FÜR DIE MEDIZIN Abbreviated Journal  
  Volume Issue Pages  
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  ISSN ISBN Medium  
  Area 800 Expedition Conference  
  Notes MV;SIAI Approved no  
  Call Number fernando @ fernando @ Serial 2428  
Permanent link to this record
 
 
Author Fernando Vilariño; Gerard Lacey edit  openurl
  Title QUALITY ASSESSMENT IN COLONOSCOPY New challenges through computer vision-based systems Type Conference Article
  Year 2009 Publication in Proc. 3rd International Conference on Biomedical Electronics and Devices Abbreviated Journal  
  Volume Issue Pages  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
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  ISSN ISBN Medium  
  Area 800 Expedition Conference  
  Notes MV;SIAI Approved no  
  Call Number fernando @ fernando @ Serial 2430  
Permanent link to this record
 
 
Author Javier Vazquez; C. Alejandro Parraga; Maria Vanrell edit  openurl
  Title Ordinal pairwise method for natural images comparison Type Journal Article
  Year 2009 Publication Perception Abbreviated Journal PER  
  Volume 38 Issue Pages 180  
  Keywords  
  Abstract (up) 38(Suppl.)ECVP Abstract Supplement
We developed a new psychophysical method to compare different colour appearance models when applied to natural scenes. The method was as follows: two images (processed by different algorithms) were displayed on a CRT monitor and observers were asked to select the most natural of them. The original images were gathered by means of a calibrated trichromatic digital camera and presented one on top of the other on a calibrated screen. The selection was made by pressing on a 6-button IR box, which allowed observers to consider not only the most natural but to rate their selection. The rating system allowed observers to register how much more natural was their chosen image (eg, much more, definitely more, slightly more), which gave us valuable extra information on the selection process. The results were analysed considering both the selection as a binary choice (using Thurstone's law of comparative judgement) and using Bradley-Terry method for ordinal comparison. Our results show a significant difference in the rating scales obtained. Although this method has been used in colour constancy algorithm comparisons, its uses are much wider, eg to compare algorithms of image compression, rendering, recolouring, etc.		  
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  Area Expedition Conference  
  Notes CIC Approved no  
  Call Number CAT @ cat @ VPV2009b Serial 1191  
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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 US 2009/0284589 A1 Abbreviated Journal USPO  
  Volume Issue Pages 1-25  
  Keywords  
  Abstract (up) 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  
  Series Editor Series Title Abbreviated Series Title  
  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  
Permanent link to this record
 
 
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 US 2009/0202117 A1 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract (up) 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  
  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  
  Notes MV;OR;MILAB;SIAI Approved no  
  Call Number IAM @ iam @ VSR2009 Serial 1704  
Permanent link to this record
 
 
Author D. Perez; L. Tarazon; N. Serrano; F.M. Castro; Oriol Ramos Terrades; A. Juan edit  doi
isbn  openurl
  Title The GERMANA Database Type Conference Article
  Year 2009 Publication 10th International Conference on Document Analysis and Recognition Abbreviated Journal  
  Volume Issue Pages 301-305  
  Keywords  
  Abstract (up) A new handwritten text database, GERMANA, is presented to facilitate empirical comparison of different approaches to text line extraction and off-line handwriting recognition. GERMANA is the result of digitising and annotating a 764-page Spanish manuscript from 1891, in which most pages only contain nearly calligraphed text written on ruled sheets of well-separated lines. To our knowledge, it is the first publicly available database for handwriting research, mostly written in Spanish and comparable in size to standard databases. Due to its sequential book structure, it is also well-suited for realistic assessment of interactive handwriting recognition systems. To provide baseline results for reference in future studies, empirical results are also reported, using standard techniques and tools for preprocessing, feature extraction, HMM-based image modelling, and language modelling.  
  Address Barcelona; 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 1520-5363 ISBN 978-1-4244-4500-4 Medium  
  Area Expedition Conference ICDAR  
  Notes DAG Approved no  
  Call Number Admin @ si @ PTS2009 Serial 1870  
Permanent link to this record
 
 
Author Fosca De Iorio; Carolina Malagelada; Fernando Azpiroz; M. Maluenda; C. Violanti; Laura Igual; Jordi Vitria; Juan R. Malagelada edit  doi
openurl 
  Title Intestinal motor activity, endoluminal motion and transit Type Journal Article
  Year 2009 Publication Neurogastroenterology & Motility Abbreviated Journal NEUMOT  
  Volume 21 Issue 12 Pages 1264–e119  
  Keywords  
  Abstract (up) A programme for evaluation of intestinal motility has been recently developed based on endoluminal image analysis using computer vision methodology and machine learning techniques. Our aim was to determine the effect of intestinal muscle inhibition on wall motion, dynamics of luminal content and transit in the small bowel. Fourteen healthy subjects ingested the endoscopic capsule (Pillcam, Given Imaging) in fasting conditions. Seven of them received glucagon (4.8 microg kg(-1) bolus followed by a 9.6 microg kg(-1) h(-1) infusion during 1 h) and in the other seven, fasting activity was recorded, as controls. This dose of glucagon has previously shown to inhibit both tonic and phasic intestinal motor activity. Endoluminal image and displacement was analyzed by means of a computer vision programme specifically developed for the evaluation of muscular activity (contractile and non-contractile patterns), intestinal contents, endoluminal motion and transit. Thirty-minute periods before, during and after glucagon infusion were analyzed and compared with equivalent periods in controls. No differences were found in the parameters measured during the baseline (pretest) periods when comparing glucagon and control experiments. During glucagon infusion, there was a significant reduction in contractile activity (0.2 +/- 0.1 vs 4.2 +/- 0.9 luminal closures per min, P < 0.05; 0.4 +/- 0.1 vs 3.4 +/- 1.2% of images with radial wrinkles, P < 0.05) and a significant reduction of endoluminal motion (82 +/- 9 vs 21 +/- 10% of static images, P < 0.05). Endoluminal image analysis, by means of computer vision and machine learning techniques, can reliably detect reduced intestinal muscle activity and motion.  
  Address  
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  Area Expedition Conference  
  Notes OR;MILAB;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ DMA2009 Serial 1251  
Permanent link to this record
 
 
Author Sergio Escalera; Xavier Baro; Jordi Vitria; Petia Radeva edit  doi
isbn  openurl
  Title Text Detection in Urban Scenes (video sample) Type Conference Article
  Year 2009 Publication 12th International Conference of the Catalan Association for Artificial Intelligence Abbreviated Journal  
  Volume 202 Issue Pages 35–44  
  Keywords  
  Abstract (up) Abstract. Text detection in urban scenes is a hard task due to the high variability of text appearance: different text fonts, changes in the point of view, or partial occlusion are just a few problems. Text detection can be specially suited for georeferencing business, navigation, tourist assistance, or to help visual impaired people. In this paper, we propose a general methodology to deal with the problem of text detection in outdoor scenes. The method is based on learning spatial information of gradient based features and Census Transform images using a cascade of classifiers. The method is applied in the context of Mobile Mapping systems, where a mobile vehicle captures urban image sequences. Moreover, a cover data set is presented and tested with the new methodology. The results show high accuracy when detecting multi-linear text regions with high variability of appearance, at same time that it preserves a low false alarm rate compared to classical approaches  
  Address Cardona (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 978-1-60750-061-2 Medium  
  Area Expedition Conference CCIA  
  Notes OR;MILAB;HuPBA;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ EBV2009 Serial 1181  
Permanent link to this record
 
 
Author Bogdan Raducanu; Fadi Dornaika edit  doi
isbn  openurl
  Title Natural Facial Expression Recognition Using Dynamic and Static Schemes Type Conference Article
  Year 2009 Publication 5th International Symposium on Visual Computing Abbreviated Journal  
  Volume 5875 Issue Pages 730–739  
  Keywords  
  Abstract (up) Affective computing is at the core of a new paradigm in HCI and AI represented by human-centered computing. Within this paradigm, it is expected that machines will be enabled with perceiving capabilities, making them aware about users’ affective state. The current paper addresses the problem of facial expression recognition from monocular videos sequences. We propose a dynamic facial expression recognition scheme, which is proven to be very efficient. Furthermore, it is conveniently compared with several static-based systems adopting different magnitude of facial expression. We provide evaluations of performance using Linear Discriminant Analysis (LDA), Non parametric Discriminant Analysis (NDA), and Support Vector Machines (SVM). We also provide performance evaluations using arbitrary test video sequences.  
  Address Las Vegas, USA  
  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 978-3-642-10330-8 Medium  
  Area Expedition Conference ISVC  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ RaD2009 Serial 1257  
Permanent link to this record
 
 
Author David Aldavert; Ricardo Toledo; Arnau Ramisa; Ramon Lopez de Mantaras edit  doi
isbn  openurl
  Title Visual Registration Method For A Low Cost Robot: Computer Vision Systems Type Conference Article
  Year 2009 Publication 7th International Conference on Computer Vision Systems Abbreviated Journal  
  Volume 5815 Issue Pages 204–214  
  Keywords  
  Abstract (up) An autonomous mobile robot must face the correspondence or data association problem in order to carry out tasks like place recognition or unknown environment mapping. In order to put into correspondence two maps, most methods estimate the transformation relating the maps from matches established between low level feature extracted from sensor data. However, finding explicit matches between features is a challenging and computationally expensive task. In this paper, we propose a new method to align obstacle maps without searching explicit matches between features. The maps are obtained from a stereo pair. Then, we use a vocabulary tree approach to identify putative corresponding maps followed by the Newton minimization algorithm to find the transformation that relates both maps. The proposed method is evaluated in a typical office environment showing good performance.  
  Address Belgica  
  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 978-3-642-04666-7 Medium  
  Area Expedition Conference ICVS  
  Notes ADAS Approved no  
  Call Number Admin @ si @ ATR2009b Serial 1247  
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