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Author |
Eric Amiel |
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Title |
Visualisation de vaisseaux sanguins |
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Report |
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Year |
2005 |
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Rapport de Stage |
Abbreviated Journal |
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Université Paul Sabatier Toulouse III |
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Bachelor's thesis |
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Université Paul Sabatier Toulouse III |
Place of Publication |
Toulouse |
Editor |
Enric Marti |
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Language |
French |
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French |
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IUP Systèmes Intelligents |
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IAM |
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no |
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IAM @ iam @ Ami2005 |
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1690 |
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Author |
Enric Sala |
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Title |
Off-line person-dependent signature verification |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
146 |
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Computer Vision Center |
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Master's thesis |
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Bellaterra, Barcelona |
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no |
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Admin @ si @ Sal2009 |
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2400 |
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Author |
Enric Marti |
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Title |
Análisis de elementos gráficos en documentos |
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Report |
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Year |
1996 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Issue |
9 |
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En este texto se presenta un estudio sobre las t’ecnicas y aplicaciones de an’alisis de documentos, y más concretamente abordando la problem’atica del an’alisis de de entidades gr’aficas. El ’area de an’alisis de documentos tiene como objetivo la interpretaci’on de documentos impresos sobre papel por m’etodos computacionales, para obtener una descripci’on con un alto nivel de abstracci’on, que permita su posterior tratamiento y archivo por m’etodos inform’aticos. Este objetivo, junto a los trabajos realizados hasta el momento, le otorgan a esta ’area un amplio ’ambito de aplicaciones para la manipulaci’on y archivo de documentos sobre papel, que puede llegar a significar un salto cualitativo importante (del papel al disco ’optico) en el uso de soportes de informaci’on, debido a las importantes prestaciones de acceso y capacidad de archivo que suponen los medios inform’aticos. Generalmente los documentos son introducidos en los sistemas de an’alisis de documentos mediante scanner, obt... |
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Computer Vision Centre |
Place of Publication |
CVC UAB |
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IAM; |
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no |
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Call Number |
IAM @ iam @ Mar1996 |
Serial |
1587 |
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Author |
Ekain Artola |
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Title |
Human Attention Map Prediction Combining Visual Features |
Type |
Report |
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Year |
2010 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
160 |
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Bachelor's thesis |
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no |
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Call Number |
Admin @ si @ Art2010 |
Serial |
1352 |
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Author |
Eduard Vazquez |
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Title |
Distribution Characterization using Topological Features. Application to Colour Image Processing |
Type |
Report |
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Year |
2007 |
Publication |
CVC Technical Report #107 |
Abbreviated Journal |
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CVC (UAB) |
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no |
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Call Number |
Admin @ si @ Vaz2007a |
Serial |
823 |
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Author |
Eduard Vazquez |
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Title |
Distribution Characterization using Topological Features. Application to Colour Image Processing |
Type |
Report |
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Year |
2007 |
Publication |
CVC Technical Report # 107 |
Abbreviated Journal |
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Master's thesis |
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no |
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Call Number |
Admin @ si @ Vaz2009 |
Serial |
1254 |
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Author |
E. Sanchez |
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Title |
On-line recognition of handwritten symbols |
Type |
Report |
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Year |
2001 |
Publication |
CVC Technical Report #52 |
Abbreviated Journal |
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no |
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Call Number |
Admin @ si @ San2001 |
Serial |
209 |
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Author |
E. Ceron |
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Title |
Programacion visual de tareas de pick and place: modulo de vision 3D |
Type |
Report |
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Year |
2000 |
Publication |
CVC Technical Report #47 |
Abbreviated Journal |
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CVC (UAB) |
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no |
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Call Number |
Admin @ si @ Cer2000 |
Serial |
348 |
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Author |
Diego Alejandro Cheda |
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Title |
Monocular egomotion estimation for ADAS application |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
148 |
Issue |
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Pages |
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Keywords |
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Address |
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Corporate Author |
Computer Vision Center |
Thesis |
Ph.D. thesis |
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Place of Publication |
Bellaterra, Barcelona |
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Notes |
ADAS |
Approved |
no |
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Call Number |
Admin @ si @ Che2009 |
Serial |
2402 |
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Author |
Debora Gil; Petia Radeva |
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Title |
Curvature based Distance Maps |
Type |
Report |
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Year |
2003 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
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Issue |
70 |
Pages |
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Publisher |
Computer Vision Center |
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Notes |
IAM;MILAB |
Approved |
no |
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Call Number |
IAM @ iam @ GIR2003a |
Serial |
1534 |
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Author |
Debora Gil |
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Title |
Regularized Curvature Flow |
Type |
Report |
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Year |
2002 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
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Issue |
63 |
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Computer Vision Centre |
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IAM; |
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no |
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Call Number |
IAM @ iam @ Gil2002 |
Serial |
1518 |
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Author |
David Vazquez; Enrique Cabello |
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Title |
Empleo de sistemas biométricos faciales aplicados al reconocimiento de personas en aeropuertos |
Type |
Report |
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Year |
2007 |
Publication |
Ingeniería Técnica en Informática de Sistemas |
Abbreviated Journal |
URJC |
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Keywords |
Surveillance; Face detection; Face recognition |
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Abstract |
El presente proyecto se desarrolló a lo largo del año 2005 y 2006, probando un prototipo de un sistema de verificación facial con imágenes extraídas de las cámaras de video-vigilancia del aeropuerto de Barajas. Se diseñaron varios experimentos, agrupados en dos clases. En el primer tipo, el sistema es entre- nado con imágenes obtenidas en condiciones de laboratorio y luego probado con imágenes extraídas de las cámaras de video-vigilancia del aeropuerto de Barajas. En el segundo caso, tanto las imágenes de entrenamiento como las de prueba corresponden a imágenes extraídas de Barajas.
Se ha desarrollado un sistema completo, que incluye adquisición y digitalización de las imágenes, localización y recorte de las caras en escena, verificación de sujetos y obtención de resultados. Los resultados muestran que, en general, un sistema de verificación facial basado en imágenes puede ser una valiosa ayuda a un operario que deba estar vigilando amplias zonas. |
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Bachelor's thesis |
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Notes |
invisible;ADAS |
Approved |
no |
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Call Number |
ADAS @ adas @ VC2007a |
Serial |
1671 |
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Permanent link to this record |
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Author |
David Vazquez; David Geronimo; Antonio Lopez |
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Title |
The effect of the distance in pedestrian detection |
Type |
Report |
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Year |
2009 |
Publication |
CVC Technical Report |
Abbreviated Journal |
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Volume |
149 |
Issue |
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Pages |
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Keywords |
Pedestrian Detection |
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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 signicantly as a function of distance, a system based on multiple classiers 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 eect of the distance in pedestrian detection. We have evaluated three pedestrian detectors (HOG, HAAR and EOH) in two dierent databases (INRIA and Daimler09) for two dierent 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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Master's thesis |
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M.Sc. |
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ADAS |
Approved |
no |
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Call Number |
ADAS @ adas @ VGL2009 |
Serial |
1669 |
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Permanent link to this record |
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Author |
David Vazquez; Antonio Lopez |
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Title |
Intrusion Classification in Intelligent Video Surveillance Systems |
Type |
Report |
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Year |
2008 |
Publication |
Estudis d'Enginyeria Superior en Informática |
Abbreviated Journal |
UAB |
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Human detection; Car detection; Intrusion detection |
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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 |
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Bellaterra, Spain |
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PFC |
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ADAS |
Approved |
no |
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Call Number |
ADAS @ adas @ VL2008a |
Serial |
1670 |
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Author |
David Masip |
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Title |
Dimensionality reduction techniques applied to nearest neighbor classification |
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Report |
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Year |
2003 |
Publication |
CVC Technical Report #72 |
Abbreviated Journal |
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CVC (UAB) |
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OR;MV |
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no |
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Call Number |
Admin @ si @ Mas2003 |
Serial |
519 |
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