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Author | Francesc Tanarro Marquez; Pau Gratacos Marti; F. Javier Sanchez; Joan Ramon Jimenez Minguell; Coen Antens; Enric Sala i Esteva | ||||
Title | A device for monitoring condition of a railway supply | Type | Patent | ||
Year | 2012 | Publication | EP 2 404 777 A1 | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
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Abstract | of a railway supply line when the supply line is in contact with a head of a pantograph of a vehicle in order to power said vehicle . The device includes a camera ( for monitoring parameters indicative of operating capability of said supply line.
The device is intended to monitor condition tive of operating capability of said supply line. The device includes a reflective element. comprising a pattern , intended to be arranged onto the pantograph head . The camera is intended to be arranged on the vehicle (10) so as to register the pattern position regarding a vertical direction. |
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Corporate Author | ALSTOM Transport SA | Thesis | |||
Publisher | European Patent Office | Place of Publication | Editor | ||
Language | Summary Language | Original Title | |||
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Area | Expedition | Conference | |||
Notes | MV | Approved | no | ||
Call Number | IAM @ iam @ MMS2012 | Serial | 1854 | ||
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Author | G.D. Evangelidis; Ferran Diego; Joan Serrat; Antonio Lopez | ||||
Title | Slice Matching for Accurate Spatio-Temporal Alignment | Type | Conference Article | ||
Year | 2011 | Publication | In ICCV Workshop on Visual Surveillance | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
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Keywords | video alignment | ||||
Abstract | Video synchronization and alignment is a rather recent topic in computer vision. It usually deals with the problem of aligning sequences recorded simultaneously by static, jointly- or independently-moving cameras. In this paper, we investigate the more difficult problem of matching videos captured at different times from independently-moving cameras, whose trajectories are approximately coincident or parallel. To this end, we propose a novel method that pixel-wise aligns videos and allows thus to automatically highlight their differences. This primarily aims at visual surveillance but the method can be adopted as is by other related video applications, like object transfer (augmented reality) or high dynamic range video. We build upon a slice matching scheme to first synchronize the sequences, while we develop a spatio-temporal alignment scheme to spatially register corresponding frames and refine the temporal mapping. We investigate the performance of the proposed method on videos recorded from vehicles driven along different types of roads and compare with related previous works. | ||||
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Language | Summary Language | Original Title | |||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | VS | ||
Notes | ADAS | Approved | no | ||
Call Number | Admin @ si @ EDS2011; ADAS @ adas @ eds2011a | Serial | 1861 | ||
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Author | G. Roig; Xavier Boix; F. de la Torre; Joan Serrat; C. Vilella | ||||
Title | Hierarchical CRF with product label spaces for parts-based Models | Type | Conference Article | ||
Year | 2011 | Publication | IEEE Conference on Automatic Face and Gesture Recognition | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
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Abstract | Non-rigid object detection is a challenging an open research problem in computer vision. It is a critical part in many applications such as image search, surveillance, human-computer interaction or image auto-annotation. Most successful approaches to non-rigid object detection make use of part-based models. In particular, Conditional Random Fields (CRF) have been successfully embedded into a discriminative parts-based model framework due to its effectiveness for learning and inference (usually based on a tree structure). However, CRF-based approaches do not incorporate global constraints and only model pairwise interactions. This is especially important when modeling object classes that may have complex parts interactions (e.g. facial features or body articulations), because neglecting them yields an oversimplified model with suboptimal performance. To overcome this limitation, this paper proposes a novel hierarchical CRF (HCRF). The main contribution is to build a hierarchy of part combinations by extending the label set to a hierarchy of product label spaces. In order to keep the inference computation tractable, we propose an effective method to reduce the new label set. We test our method on two applications: facial feature detection on the Multi-PIE database and human pose estimation on the Buffy dataset. | ||||
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Language | Summary Language | Original Title | |||
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Area | Expedition | Conference | FG | ||
Notes | ADAS | Approved | no | ||
Call Number | Admin @ si @ RBT2011 | Serial | 1862 | ||
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Author | Albert Andaluz | ||||
Title | Harmonic Phase Flow: User's guide | Type | Manual | ||
Year | 2012 | Publication | CVC | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
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Abstract | HPF is a plugin for the computation of clinical scores under Osirix.
This manual provides a basic guide for experienced clinical staff. Chapter 1 provides the theoretical background in which this plugin is based. Next, in chapter 2 we provide basic instructions for installing and uninstalling this plugin. chapter 3we shows a step-by-step scenario to compute clinical scores from tagged-MRI images with HPF. Finally, in chapter 4 we provide a quick guide for plugin developers |
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Address | Bellaterra, Barcelona (Spain) | ||||
Corporate Author | Computer Vision Center | Thesis | |||
Publisher | CVC | Place of Publication | Barcelona | Editor | |
Language | english | Summary Language | english | Original Title | |
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Notes | IAM | Approved | no | ||
Call Number | IAM @ iam @ And2012 | Serial | 1863 | ||
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Author | Fahad Shahbaz Khan; Joost Van de Weijer; Andrew Bagdanov; Maria Vanrell | ||||
Title | Portmanteau Vocabularies for Multi-Cue Image Representation | Type | Conference Article | ||
Year | 2011 | Publication | 25th Annual Conference on Neural Information Processing Systems | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
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Abstract | We describe a novel technique for feature combination in the bag-of-words model of image classification. Our approach builds discriminative compound words from primitive cues learned independently from training images. Our main observation is that modeling joint-cue distributions independently is more statistically robust for typical classification problems than attempting to empirically estimate the dependent, joint-cue distribution directly. We use Information theoretic vocabulary compression to find discriminative combinations of cues and the resulting vocabulary of portmanteau words is compact, has the cue binding property, and supports individual weighting of cues in the final image representation. State-of-the-art results on both the Oxford Flower-102 and Caltech-UCSD Bird-200 datasets demonstrate the effectiveness of our technique compared to other, significantly more complex approaches to multi-cue image representation | ||||
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Language | Summary Language | Original Title | |||
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Area | Expedition | Conference | NIPS | ||
Notes | CIC | Approved | no | ||
Call Number | Admin @ si @ KWB2011 | Serial | 1865 | ||
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Author | Yainuvis Socarras; Sebastian Ramos; David Vazquez; Antonio Lopez; Theo Gevers | ||||
Title | Adapting Pedestrian Detection from Synthetic to Far Infrared Images | Type | Conference Article | ||
Year | 2013 | Publication | ICCV Workshop on Visual Domain Adaptation and Dataset Bias | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
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Keywords | Domain Adaptation; Far Infrared; Pedestrian Detection | ||||
Abstract | We present different techniques to adapt a pedestrian classifier trained with synthetic images and the corresponding automatically generated annotations to operate with far infrared (FIR) images. The information contained in this kind of images allow us to develop a robust pedestrian detector invariant to extreme illumination changes. | ||||
Address | Sydney; Australia; December 2013 | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Sydney, Australy | Editor | ||
Language | English | Summary Language | Original Title | ||
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Area | Expedition | Conference | ICCVW-VisDA | ||
Notes | ADAS; 600.054; 600.055; 600.057; 601.217;ISE | Approved | no | ||
Call Number | ADAS @ adas @ SRV2013 | Serial | 2334 | ||
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Author | V.C.Kieu; Alicia Fornes; M. Visani; N.Journet ; Anjan Dutta | ||||
Title | The ICDAR/GREC 2013 Music Scores Competition on Staff Removal | Type | Conference Article | ||
Year | 2013 | Publication | 10th IAPR International Workshop on Graphics Recognition | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
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Keywords | Competition; Music scores; Staff Removal | ||||
Abstract | The first competition on music scores that was organized at ICDAR and GREC in 2011 awoke the interest of researchers, who participated both at staff removal and writer identification tasks. In this second edition, we propose a staff removal competition where we simulate old music scores. Thus, we have created a new set of images, which contain noise and 3D distortions. This paper describes the distortion methods, metrics, the participant’s methods and the obtained results. | ||||
Address | Bethlehem; PA; USA; August 2013 | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | GREC | ||
Notes | DAG; 600.045; 600.061 | Approved | no | ||
Call Number | Admin @ si @ KFV2013 | Serial | 2337 | ||
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Author | Jorge Bernal; David Vazquez (eds) | ||||
Title | Computer vision Trends and Challenges | Type | Book Whole | ||
Year | 2013 | Publication | Computer vision Trends and Challenges | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
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Keywords | CVCRD; Computer Vision | ||||
Abstract | This book contains the papers presented at the Eighth CVC Workshop on Computer Vision Trends and Challenges (CVCR&D'2013). The workshop was held at the Computer Vision Center (Universitat Autònoma de Barcelona), the October 25th, 2013. The CVC workshops provide an excellent opportunity for young researchers and project engineers to share new ideas and knowledge about the progress of their work, and also, to discuss about challenges and future perspectives. In addition, the workshop is the welcome event for new people that recently have joined the institute.
The program of CVCR&D is organized in a single-track single-day workshop. It comprises several sessions dedicated to specific topics. For each session, a doctor working on the topic introduces the general research lines. The PhD students expose their specific research. A poster session will be held for open questions. Session topics cover the current research lines and development projects of the CVC: Medical Imaging, Medical Imaging, Color & Texture Analysis, Object Recognition, Image Sequence Evaluation, Advanced Driver Assistance Systems, Machine Vision, Document Analysis, Pattern Recognition and Applications. We want to thank all paper authors and Program Committee members. Their contribution shows that the CVC has a dynamic, active, and promising scientific community. We hope you all enjoy this Eighth workshop and we are looking forward to meeting you and new people next year in the Ninth CVCR&D. |
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Publisher | Place of Publication | Editor | Jorge Bernal; David Vazquez | ||
Language | Summary Language | Original Title | |||
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Series Volume | Series Issue | Edition | |||
ISSN | ISBN | 978-84-940902-2-6 | Medium | ||
Area | Expedition | Conference | |||
Notes | Approved | no | |||
Call Number | ADAS @ adas @ BeV2013 | Serial | 2339 | ||
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Author | Michal Drozdzal; Santiago Segui; Petia Radeva; Jordi Vitria; Laura Igual | ||||
Title | System and Method for Displaying Motility Events in an in Vivo Image Stream | Type | Patent | ||
Year | 2011 | Publication | US 61/592,786 | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
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Address | Given Imaging | ||||
Corporate Author | US Patent Office | Thesis | |||
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Notes | MILAB; OR;MV | Approved | no | ||
Call Number | Admin @ si @ DSR2011 | Serial | 1897 | ||
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Author | Albert Andaluz; Francesc Carreras; Cristina Santa Marta;Debora Gil | ||||
Title | Myocardial torsion estimation with Tagged-MRI in the OsiriX platform | Type | Conference Article | ||
Year | 2012 | Publication | ISBI Workshop on Open Source Medical Image Analysis software | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
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Abstract | Myocardial torsion (MT) plays a crucial role in the assessment of the functionality of the
left ventricle. For this purpose, the IAM group at the CVC has developed the Harmonic Phase Flow (HPF) plugin for the Osirix DICOM platform . We have validated its funcionalty on sequences acquired using different protocols and including healthy and pathological cases. Results show similar torsion trends for SPAMM acquisitions, with pathological cases introducing expected deviations from the ground truth. Finally, we provide the plugin free of charge at http://iam.cvc.uab.es |
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Address | Barcelona, Spain | ||||
Corporate Author | Thesis | ||||
Publisher | IEEE | Place of Publication | Editor | Wiro Niessen (Erasmus MC) and Marc Modat (UCL) | |
Language | Summary Language | Original Title | |||
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Area | Expedition | Conference | ISBI | ||
Notes | IAM | Approved | no | ||
Call Number | IAM @ iam @ ACS2012 | Serial | 1900 | ||
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Author | Marçal Rusiñol; V. Poulain d'Andecy; Dimosthenis Karatzas; Josep Llados | ||||
Title | Classification of Administrative Document Images by Logo Identification | Type | Conference Article | ||
Year | 2013 | Publication | 10th IAPR International Workshop on Graphics Recognition | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
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Abstract | This paper is focused on the categorization of administrative document images (such as invoices) based on the recognition of the supplier's graphical logo. Two different methods are proposed, the first one uses a bag-of-visual-words model whereas the second one tries to locate logo images described by the blurred shape model descriptor within documents by a sliding-window technique. Preliminar results are reported with a dataset of real administrative documents. | ||||
Address | Bethlehem; PA; USA; August 2013 | ||||
Corporate Author | Thesis | ||||
Publisher | Place of Publication | Editor | |||
Language | Summary Language | Original Title | |||
Series Editor | Series Title | Abbreviated Series Title | |||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | GREC | ||
Notes | DAG; 600.056; 600.045; 605.203 | Approved | no | ||
Call Number | Admin @ si @ | Serial | 2348 | ||
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Author | Marçal Rusiñol; Dimosthenis Karatzas; Josep Llados | ||||
Title | Spotting Graphical Symbols in Camera-Acquired Documents in Real Time | Type | Conference Article | ||
Year | 2013 | Publication | 10th IAPR International Workshop on Graphics Recognition | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
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Abstract | In this paper we present a system devoted to spot graphical symbols in camera-acquired document images. The system is based on the extraction and further matching of ORB compact local features computed over interest key-points. Then, the FLANN indexing framework based on approximate nearest neighbor search allows to efficiently match local descriptors between the captured scene and the graphical models. Finally, the RANSAC algorithm is used in order to compute the homography between the spotted symbol and its appearance in the document image. The proposed approach is efficient and is able to work in real time. | ||||
Address | Bethlehem; PA; USA; August 2013 | ||||
Corporate Author | Thesis | ||||
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Language | Summary Language | Original Title | |||
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ISSN | ISBN | Medium | |||
Area | Expedition | Conference | GREC | ||
Notes | DAG; 600.045; 600.055; 600.061; 602.101 | Approved | no | ||
Call Number | Admin @ si @ RKL2013 | Serial | 2347 | ||
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Author | Jiaolong Xu; Sebastian Ramos; Xu Hu; David Vazquez; Antonio Lopez | ||||
Title | Multi-task Bilinear Classifiers for Visual Domain Adaptation | Type | Conference Article | ||
Year | 2013 | Publication | Advances in Neural Information Processing Systems Workshop | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
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Keywords | Domain Adaptation; Pedestrian Detection; ADAS | ||||
Abstract | We propose a method that aims to lessen the significant accuracy degradation
that a discriminative classifier can suffer when it is trained in a specific domain (source domain) and applied in a different one (target domain). The principal reason for this degradation is the discrepancies in the distribution of the features that feed the classifier in different domains. Therefore, we propose a domain adaptation method that maps the features from the different domains into a common subspace and learns a discriminative domain-invariant classifier within it. Our algorithm combines bilinear classifiers and multi-task learning for domain adaptation. The bilinear classifier encodes the feature transformation and classification parameters by a matrix decomposition. In this way, specific feature transformations for multiple domains and a shared classifier are jointly learned in a multi-task learning framework. Focusing on domain adaptation for visual object detection, we apply this method to the state-of-the-art deformable part-based model for cross domain pedestrian detection. Experimental results show that our method significantly avoids the domain drift and improves the accuracy when compared to several baselines. |
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Address | Lake Tahoe; Nevada; USA; December 2013 | ||||
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Area | Expedition | Conference | NIPSW | ||
Notes | ADAS; 600.054; 600.057; 601.217;ISE | Approved | no | ||
Call Number | ADAS @ adas @ XRH2013 | Serial | 2340 | ||
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Author | Hany Salah Eldeen | ||||
Title | Colour Naming in Context through a Perceptual Model | Type | Report | ||
Year | 2009 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 130 | Issue | Pages ![]() |
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Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
Publisher | Place of Publication | Bellaterra, Barcelona | Editor | ||
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Notes | Approved | no | |||
Call Number | Admin @ si @ Eld2009 | Serial | 2389 | ||
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Author | Naila Murray | ||||
Title | Perceptual Feature Detection | Type | Report | ||
Year | 2009 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 131 | Issue | Pages ![]() |
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Corporate Author | Computer Vision Center | Thesis | Master's thesis | ||
Publisher | Place of Publication | Bellaterra, Barcelona | Editor | ||
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Area | Expedition | Conference | |||
Notes | CIC | Approved | no | ||
Call Number | Admin @ si @ Mur2009 | Serial | 2390 | ||
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