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Author J. Martinez edit  openurl
  Title Automotive sector and Machine Vision. Type Miscellaneous
  Year 2002 Publication European Integrated Machine Vision, 1: 2, Special Edition: Automative and Glass. Abbreviated Journal  
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  Notes Approved no  
  Call Number Admin @ si @ 37316 Serial 270  
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Author J. Martinez; F. Thomas edit  openurl
  Title Efficient Computation of Local Geometric Moments Type Journal
  Year 2002 Publication IEEE Transactions on Image Porcessing, 11(9): 1102–1111 (IF: 2.553) Abbreviated Journal  
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  Notes Approved no  
  Call Number Admin @ si @ MaT2002 Serial 271  
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Author Xavier Otazu; M. Ribo; M. Peracaula; J.M. Paredes; J. Nuñez edit  openurl
  Title Detection of superimposed periodic signals using wavelets Type Journal
  Year 2002 Publication Monthly Notices of the Royal Astronomical Society, 333, 2: 365–372 (IF: 4.671) Abbreviated Journal  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ ORP2002 Serial 272  
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Author A. Pujol; Juan J. Villanueva edit  openurl
  Title A supervised Modification of the Hausdorff distance for visual shape classification Type Journal
  Year 2002 Publication International Journal of Pattern Recognition and Artificial Intelligence Abbreviated Journal  
  Volume 16 Issue 3 Pages 349-359  
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  Abstract (IF: 0.359)  
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  Notes ISE Approved no  
  Call Number PuV2002 Serial 273  
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Author J.M. Sanchez; X. Binefa; Jordi Vitria edit  openurl
  Title Shot Partitioning Based Recognition of Tv Commercials Type Journal
  Year 2002 Publication Multimedia Tools and Applications, 18: 233–247, Kluwer Academic Publishers (IF: 0.421) Abbreviated Journal  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ SBV2002 Serial 274  
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Author Gemma Sanchez; Josep Llados; K. Tombre edit  doi
openurl 
  Title A mean string algorithm to compute the average among a set of 2D shapes Type Journal Article
  Year 2002 Publication Pattern Recognition Letters Abbreviated Journal PRL  
  Volume 23 Issue 1-3 Pages 203–214  
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  Notes DAG; IF: 0.409 Approved no  
  Call Number DAG @ dag @ SLT2002 Serial 275  
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Author Juan J. Villanueva edit  isbn
openurl 
  Title Visualization, Imaging and Image Processing. Type Book Whole
  Year 2002 Publication International Association of Science and Technology for Development. ACTA Press, Abbreviated Journal  
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  ISSN ISBN 0–88986–354–3 Medium  
  Area Expedition Conference IASTE  
  Notes Approved no  
  Call Number ISE @ ise @ Vil2002 Serial 276  
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Author M. Bressan; Jordi Vitria edit  openurl
  Title Feature Subset Selection in an ICA Space Type Miscellaneous
  Year 2002 Publication Abbreviated Journal  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ BrV2002b Serial 277  
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Author M. Bressan; Jordi Vitria edit  openurl
  Title Improving Naive Bayes using Class Conditional ICA Type Miscellaneous
  Year 2002 Publication F. Garijo, J. Riquelme, M. Toro, (Eds.), Advances in Artificial Intelligece–Iberamia, LNAI 2527: 1–10, Springer Verlag Series. Abbreviated Journal  
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  Notes OR;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ BrV2002d Serial 278  
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Author David Vazquez; David Geronimo; Antonio Lopez edit   pdf
openurl 
  Title The effect of the distance in pedestrian detection Type Report
  Year 2009 Publication CVC Technical Report Abbreviated Journal  
  Volume 149 Issue Pages  
  Keywords Pedestrian Detection  
  Abstract Pedestrian accidents are one of the leading preventable causes of death. In order to reduce the number of accidents, in the last decade the pedestrian protection systems have been introduced, a special type of advanced driver assistance systems, in witch an on-board camera explores the road ahead for possible collisions with pedestrians in order to warn the driver or perform braking actions. As a result of the variability of the appearance, pose and size, pedestrian detection is a very challenging task. So many techniques, models and features have been proposed to solve the problem. As the appearance of pedestrians varies signi cantly as a function of distance, a system based on multiple classi ers specialized on diferent depths is likely to improve the overall performance with respect to a typical system based on a general detector. Accordingly, the main aim of this work is to explore the e ect of the distance in pedestrian detection. We have evaluated three pedestrian detectors (HOG, HAAR and EOH) in two di erent databases (INRIA and Daimler09) for two di erent sizes (small and big). By a extensive set of experiments we answer to questions like which datasets and evaluation methods are the most adequate, which is the best method for each size of the pedestrians and why or how do the method optimum parameters vary with respect to the distance  
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  Corporate Author Thesis Master's thesis  
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  ISSN ISBN Medium  
  Area Expedition Conference M.Sc.  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ VGL2009 Serial 1669  
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