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Author Daniel Hernandez; Alejandro Chacon; Antonio Espinosa; David Vazquez; Juan Carlos Moure; Antonio Lopez edit   pdf
openurl 
  Title Stereo Matching using SGM on the GPU Type Report
  Year 2016 Publication Programming and Tuning Massively Parallel Systems Abbreviated Journal PUMPS  
  Volume Issue Pages  
  Keywords CUDA; Stereo; Autonomous Vehicle  
  Abstract (down) Dense, robust and real-time computation of depth information from stereo-camera systems is a computationally demanding requirement for robotics, advanced driver assistance systems (ADAS) and autonomous vehicles. Semi-Global Matching (SGM) is a widely used algorithm that propagates consistency constraints along several paths across the image. This work presents a real-time system producing reliable disparity estimation results on the new embedded energy efficient GPU devices. Our design runs on a Tegra X1 at 42 frames per second (fps) for an image size of 640x480, 128 disparity levels, and using 4 path directions for the SGM method.  
  Address  
  Corporate Author Thesis  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference PUMPS  
  Notes ADAS; 600.085; 600.087; 600.076 Approved no  
  Call Number ADAS @ adas @ HCE2016b Serial 2776  
Permanent link to this record
 

 
Author David Vazquez; Antonio Lopez edit  openurl
  Title Intrusion Classification in Intelligent Video Surveillance Systems Type Report
  Year 2008 Publication Estudis d'Enginyeria Superior en Informática Abbreviated Journal UAB  
  Volume Issue Pages  
  Keywords Human detection; Car detection; Intrusion detection  
  Abstract (down) An intelligent video surveillance system (IVS) is a camera-based installation able to process in real-time the images coming from the cameras. The aim is to automatically warn about different events of interest at the moment they happen. Daview system of Davantis is a com mercial example of IVS system. The problems addressed by any IVS system, and so Daview, are so challenging that none IVS system is perfect, thus, they need continuous improvement. Accordingly, this project aims to study different approaches in order to outperform current Daview performance, in particular, we bet for improving its classification core. We present an in deep study of the state of the art on IVS systems, as well as on how Daview works. Based on that knowledge, we propose four possibilities for improving Daview classification capabilities: improve existent classifiers; improve existing classifiers combination; create new classifiers and create new classifier-based architectures. Our main contribution has been the incorporation of state-of-the-art feature selection and machine learning techniques for the classification tasks, a viewpoint not fully addressed in current Daview system. After a comprehensive quantitative evaluation we will see how one of our proposals clearly outperforms the overall performance of current Daview system. In particular the classification core that we finally propose consists in an AdaBoost One-Against-All architecture that uses appearance and motion features that were already present in current Daview system  
  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 PFC  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ VL2008a Serial 1670  
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Author Patricia Marquez edit   pdf
openurl 
  Title Conditions Ensuring Accuracy of Local Optical Flow Schemes Type Report
  Year 2010 Publication CVC Tehcnical Report Abbreviated Journal  
  Volume 157 Issue Pages  
  Keywords  
  Abstract (down) Accurate computation of optical flow is a key-point in many image processing fields. Detection of anomalous and unpredicted agents (such as pedestrians, bikers or cars) in urban scenes or pathology discrimination in medical imaging sequences, to mention just a two. The above kinds sequences present two main difficulties for standard optical flow techniques. On one hand, variability in acquisition conditions (illuminance, medical imaging modality, ...) force an alterantive representation for images fulfilling the britghtness constancy constrain. On the hand, current variational schemes produce oversmoothed fields unable to properly model discontinuous behaviours such as collisions or functionless pathological areas. This master project explores the abilities and limitations of local and global optical flow approaches. The master student will put especial emphasis in the theoretical grounds behind in order to design a variational framework combining the theoretical advantages of the considered techniques. In particular an optical flow based on Gabor phase tracking (developed in the group for medical imaging) will be generalized to urban scenes.  
  Address  
  Corporate Author Thesis Master's thesis  
  Publisher Place of Publication Bellaterra 08193, Barcelona, Spain 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 IAM; Approved no  
  Call Number IAM @ iam @ Mar2010 Serial 1582  
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Author Aura Hernandez-Sabate edit   pdf
openurl 
  Title Automatic adventitia segmentation in IntraVascular UltraSound images Type Report
  Year 2005 Publication CVC Technical Report Abbreviated Journal  
  Volume Issue 85 Pages  
  Keywords  
  Abstract (down) A usual tool in cardiac disease diagnosis is vessel plaque assessment by analysis of IVUS sequences. Manual detection of lumen-intima, intima-media and media-adventitia vessel borders is the main activity of physicians in the process of plaque quantification. Large variety in vessel border descriptors, as well as, shades, artifacts and blurred response due to ultrasound physical properties troubles automated media-adventitia segmentation. This experimental work presents a solution to such a complex problem. The process blends advanced anisotropic filtering operators and statistic classification techniques, achieving an efficient vessel border modelling strategy. First of all, we introduce the theoretic base of the method. After that, we show the steps of the algorithm, validating the method with statistics that show that the media-adventitia border detection achieves an accuracy in the range of inter-observer variability regardless of plaque nature, vessel geometry and incomplete vessel borders. Finally, we present a little Matlab application to the automatic media-adventitia border.  
  Address  
  Corporate Author Thesis Master's thesis  
  Publisher Place of Publication 08193 Bellaterra, Barcelona (Spain) 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 IAM; Approved no  
  Call Number IAM @ iam @ Her2005 Serial 1544  
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Author Aura Hernandez-Sabate; Debora Gil; Petia Radeva edit   pdf
openurl 
  Title A Deterministic-Statistical Strategy for Adventitia Segmentation in IVUS images Type Report
  Year 2005 Publication CVC Technical Report Abbreviated Journal  
  Volume Issue 89 Pages  
  Keywords  
  Abstract (down) A useful tool for some specific studies in cardiac disease diagnosis is vessel plaque assessment by analysis of IVUS sequences. Manual detection of luminal (inner) and media-adventitia (external) vessel borders is the main activity of physicians in the process of lumen narrowing (plaque) quantification. Difficult definition of vessel border descriptors, as well as, shades, artifacts and blurred signal response due to ultrasound physical properties troubles automated adventitia segmentation. In order to efficiently approach such a complex problem, we propose blending advanced anisotropic filtering operators and statistical classification techniques into a vessel border modelling strategy. Our systematic statistical analysis shows that the reported adventitia detection achieves an accuracy in the range of inter-observer variability regardless of plaque nature, vessel geometry and incomplete vessel borders.  
  Address  
  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  
  Notes IAM; MILAB Approved no  
  Call Number IAM @ iam @ HGR2005a Serial 1548  
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Author A. Martinez; Jordi Vitria edit  openurl
  Title Learning mixture models with the EM algorithm and genetic algorithms Type Report
  Year 1998 Publication CVC Technical Report #23 Abbreviated Journal  
  Volume Issue Pages  
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  Abstract (down)  
  Address CVC (UAB)  
  Corporate Author Thesis  
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  Series Editor Series Title Abbreviated Series Title  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ MaV1998a Serial 8  
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Author Oriol Pujol edit  openurl
  Title Model-based three dimensional interpolation of IVUS images Type Report
  Year 1999 Publication CVC Technical Report #27 Abbreviated Journal  
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  Address CVC (UAB)  
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  Area Expedition Conference  
  Notes HuPBA;MILAB Approved no  
  Call Number BCNPCL @ bcnpcl @ Puj1999 Serial 49  
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Author David Guillamet edit  openurl
  Title Reconeixement d´objectes en entorns poc controlats mitjançant metodes estadistics Type Report
  Year 1999 Publication CVC Technical Report #30 Abbreviated Journal  
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  Address CVC (UAB)  
  Corporate Author Thesis  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number Admin @ si @ Gui1999 Serial 51  
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Author Robert Benavente edit  openurl
  Title Dealing with colour variability: application to a colour naming task Type Report
  Year 1999 Publication CVC Technical Report #32 Abbreviated Journal  
  Volume Issue Pages  
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  Address CVC (UAB)  
  Corporate Author Thesis  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ Ben1999 Serial 53  
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Author Jordi Vitria; Petia Radeva; X. Binefa; A. Pujol; Ernest Valveny; Robert Benavente; Craig Von Land edit  openurl
  Title Real time recognition of pharmaceutical products by subspace methods Type Report
  Year 1999 Publication CVC Technical Report #35 Abbreviated Journal  
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  Address CVC (UAB)  
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  Area Expedition Conference  
  Notes OR;MILAB;DAG;CIC;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ VRB1999b Serial 54  
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Author A. Martinez; Jordi Vitria edit  openurl
  Title Dimensionality reduction for face recognition Type Report
  Year 1996 Publication CVC Technical Report #16 Abbreviated Journal  
  Volume Issue Pages  
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  Address CVC (UAB)  
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  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ MaV1996a Serial 57  
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Author Robert Benavente; Maria Vanrell edit  openurl
  Title A colour naming experiment Type Report
  Year 2001 Publication CVC Technical Report #56 Abbreviated Journal  
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  Address CVC (UAB)  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ BeV2001 Serial 78  
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Author Josep Llados edit  openurl
  Title Interpretacio de dibuixos linials fets a ma alçada mitjançant isomorfisme entre subgrafs i transformacio de Hough Type Report
  Year 1996 Publication CVC Technical Report #10 Abbreviated Journal  
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  Area Expedition Conference  
  Notes DAG Approved no  
  Call Number DAG @ dag @ Lla1996 Serial 85  
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Author Eva Costa edit  openurl
  Title Localitzacio i seguiment de persones amb una camera amb Pan, Tilt i Zoom Type Report
  Year 2001 Publication CVC Technical Report #51 Abbreviated Journal  
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  Address CVC (UAB)  
  Corporate Author Thesis  
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  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Admin @ si @ Cos2001 Serial 87  
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Author Jordi Vitria edit  openurl
  Title Introduccio a la Morfologia Matematica Type Report
  Year 1996 Publication CVC Technical Report #06 Abbreviated Journal  
  Volume Issue Pages  
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  Address CVC (UAB)  
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  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ Vit1996b Serial 90  
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