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Author J.R. Serra; J.B. Subirana
Title Perceptual grouping on texture images using non-cartesian networks Type (up) Report
Year 1996 Publication CVC Technical Report #11 Abbreviated Journal
Volume Issue Pages
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Address CVC (UAB)
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Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ SeS1996b Serial 218
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Author C. Molina; J.B. Subirana
Title Reduction of complexity for object recognition algorithms Type (up) Report
Year 1995 Publication CVC Technical Report #03 Abbreviated Journal
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Address CVC (UAB)
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Notes Approved no
Call Number Admin @ si @ MoS1995a Serial 225
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Author David Vazquez; David Geronimo; Antonio Lopez
Title The effect of the distance in pedestrian detection Type (up) 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
Address
Corporate Author Thesis Master's thesis
Publisher Place of Publication Editor
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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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Author David Vazquez; Antonio Lopez
Title Intrusion Classification in Intelligent Video Surveillance Systems Type (up) Report
Year 2008 Publication Estudis d'Enginyeria Superior en Informática Abbreviated Journal UAB
Volume Issue Pages
Keywords Human detection; Car detection; Intrusion detection
Abstract 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 Lluis Barcelo
Title Accurate video mosaicing with moving objects Type (up) Report
Year 2002 Publication CVC Technical Report # 59 Abbreviated Journal
Volume Issue Pages
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Address CVC (UAB)
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Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ Bar2002 Serial 326
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Author Cristina Cañero; Petia Radeva
Title Predictive (un)distortion model for 3D reconstruction purpouses Type (up) Report
Year 2002 Publication CVC Technical Report # 61 Abbreviated Journal
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Address CVC (UAB)
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Notes MILAB Approved no
Call Number BCNPCL @ bcnpcl @ CaR2002 Serial 327
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Author Jaume Garcia
Title Propagacio de fronts per a la segmentacio en imatges IVUS Type (up) Report
Year 2002 Publication Technical Report Abbreviated Journal
Volume Issue 65 Pages
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Address CVC (UAB)
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Notes IAM Approved no
Call Number IAM @ iam @ Gar2002 Serial 328
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Author A. Pagani
Title Analisis y comparacion de metodos para la caracterizacion de la respuesta espectral de camaras Type (up) Report
Year 2002 Publication CVC Technical Report # 64 Abbreviated Journal
Volume Issue Pages
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Abstract
Address CVC (UAB)
Corporate Author Thesis
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Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ Pag2002 Serial 330
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Author R. Xandri
Title Un metode de vectoritzacio basat en l’aprimament Type (up) Report
Year 2002 Publication CVC Technical Report # 62 Abbreviated Journal
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Address CVC (UAB)
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Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ Xan2002 Serial 331
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Author J. Queralt
Title Un metode de vectoritzacio basat en la correspondencia de contorns i en la Teoria de Grafs Type (up) Report
Year 2000 Publication CVC Technical Report #39 Abbreviated Journal
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Address CVC (UAB)
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Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ Que2000 Serial 340
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Author Silvia Sanchez
Title Estudio de viabilidad para la inspeccion de cinturones de seguridad en color Type (up) Report
Year 2000 Publication Technical Report #40 Abbreviated Journal
Volume Issue Pages
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Address CVC (UAB)
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Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ San2000 Serial 341
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Author V. Chapaprieta
Title Reconocimiento de caracteres manuscritos mediante modelos de distribucion de puntos (PDM) Type (up) Report
Year 2000 Publication CVC Technical Report #41 Abbreviated Journal
Volume Issue Pages
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Address CVC (UAB)
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Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ Cha2000 Serial 342
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Author G. Tortajada
Title Extraccio interactiva de patrocinadors d’anuncis en revistes utilitzant tecniques de Visio per Computador Type (up) Report
Year 2000 Publication CVC Technical Report #42 Abbreviated Journal
Volume Issue Pages
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Abstract
Address CVC (UAB)
Corporate Author Thesis
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Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ Tor2000b Serial 343
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Author S. Casanovas
Title Seguiment de moviment articulat mitjançant flux òptic i metodes estocastics Type (up) Report
Year 2000 Publication CVC Technical Report #43 Abbreviated Journal
Volume Issue Pages
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Address CVC (UAB)
Corporate Author Thesis
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Area Expedition Conference
Notes Approved no
Call Number Admin @ si @ Cas2000 Serial 344
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Author M. Pros
Title Indexacio icònica amb 2D-String per al reconoixement de persones segons la seva vestimenta Type (up) Report
Year 2000 Publication CVC Technical Report #44 Abbreviated Journal
Volume Issue Pages
Keywords
Abstract
Address CVC (UAB)
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 Approved no
Call Number Admin @ si @ Pro2000 Serial 345
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