toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
Details
   print
  Records Links
Author Pau Baiget edit  openurl
  Title Modeling Human Behavior for Image Sequence Understanding and Generation Type Book Whole
  Year 2009 Publication PhD Thesis, Universitat Autonoma de Barcelona-CVC Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract The comprehension of animal behavior, especially human behavior, is one of the most ancient and studied problems since the beginning of civilization. The big list of factors that interact to determine a person action require the collaboration of different disciplines, such as psichology, biology, or sociology. In the last years the analysis of human behavior has received great attention also from the computer vision community, given the latest advances in the acquisition of human motion data from image sequences.

Despite the increasing availability of that data, there still exists a gap towards obtaining a conceptual representation of the obtained observations. Human behavior analysis is based on a qualitative interpretation of the results, and therefore the assignment of concepts to quantitative data is linked to a certain ambiguity.

This Thesis tackles the problem of obtaining a proper representation of human behavior in the contexts of computer vision and animation. On the one hand, a good behavior model should permit the recognition and explanation the observed activity in image sequences. On the other hand, such a model must allow the generation of new synthetic instances, which model the behavior of virtual agents.

First, we propose methods to automatically learn the models from observations. Given a set of quantitative results output by a vision system, a normal behavior model is learnt. This results provides a tool to determine the normality or abnormality of future observations. However, machine learning methods are unable to provide a richer description of the observations. We confront this problem by means of a new method that incorporates prior knowledge about the enviornment and about the expected behaviors. This framework, formed by the reasoning engine FMTL and the modeling tool SGT allows the generation of conceptual descriptions of activity in new image sequences. Finally, we demonstrate the suitability of the proposed framework to simulate behavior of virtual agents, which are introduced into real image sequences and interact with observed real agents, thereby easing the generation of augmented reality sequences.

The set of approaches presented in this Thesis has a growing set of potential applications. The analysis and description of behavior in image sequences has its principal application in the domain of smart video--surveillance, in order to detect suspicious or dangerous behaviors. Other applications include automatic sport commentaries, elderly monitoring, road traffic analysis, and the development of semantic video search engines. Alternatively, behavioral virtual agents allow to simulate accurate real situations, such as fires or crowds. Moreover, the inclusion of virtual agents into real image sequences has been widely deployed in the games and cinema industries.
 
  Address (up) Bellaterra (Spain)  
  Corporate Author Thesis Ph.D. thesis  
  Publisher Ediciones Graficas Rey Place of Publication Editor Jordi Gonzalez;Xavier Roca  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number Admin @ si @ Bai2009 Serial 1210  
Permanent link to this record
 

 
Author Joan Serrat; Antonio Lopez edit  url
openurl 
  Title Deteccion automatica de lineas de carril para la asistencia a la conduccion Type Miscellaneous
  Year 2010 Publication UAB Divulga – Revista de divulgacion cientifica Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract La detección por cámara de las líneas de carril en las carreteras puede ser una solución asequible a los riesgos de conducción generados por los adelantamientos o las salidas de carril. Este trabajo propone un sistema que funciona en tiempo real y que obtiene muy buenos resultados. El sistema está preparado para identificar las líneas en condiciones de visibilidad poco favorables, como puede ser la conducción nocturna o con otros vehículos que dificulten la visión.  
  Address (up) 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  
  Notes ADAS Approved no  
  Call Number ADAS @ adas @ SeL2010 Serial 1430  
Permanent link to this record
 

 
Author David Geronimo; Antonio Lopez edit  url
openurl 
  Title Sistema de deteccion de peatones Type Miscellaneous
  Year 2010 Publication UAB Divulga Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract Durante la próxima década, los sistemas de protección de peatones jugarán un papel fundamental en el reto de mejorar la seguridad viaria. El objetivo principal de estos sistemas, detectar peatones en entornos urbanos, implica procesar imágenes de escenas exteriores desde una plataforma móvil para buscar objetos de aspecto variable como son las personas. Dadas estas dificultades, estos sistemas hacen uso de las últimas técnicas de visión por computador. Esta propuesta consiste en un sistema de tres módulos basado tanto en información 2D como en 3D. El primer módulo utiliza información 3D para hacer una estimación de los parámetros de la carretera y seleccionar regiones de interés que serán analizadas después. El segundo módulo utiliza un clasificador de ventanas 2D para etiquetar las mencionadas regiones como peatón o no peatón. El módulo final vuelve a utilizar de nuevo la información 3D para verificar las regiones clasificadas y, con información 2D, refinar los resultados finales. Los resultados experimentales son positivos tanto en rendimiento como en tiempo de cómputo.  
  Address (up) 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  
  Notes spreading;ADAS Approved no  
  Call Number ADAS @ adas @ GeL2010b Serial 1473  
Permanent link to this record
 

 
Author Alejandro Gonzalez Alzate edit  openurl
  Title Evaluation of spatiotemporal descriptors for pedestrian detection in video sequences Type Report
  Year 2011 Publication CVC Technical Report Abbreviated Journal  
  Volume 166 Issue Pages  
  Keywords  
  Abstract  
  Address (up) Bellaterra (Spain)  
  Corporate Author Computer Vision Center Thesis Master's 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  
  Notes ADAS Approved no  
  Call Number Admin @ si @ Gon2011 Serial 1932  
Permanent link to this record
 

 
Author Yainuvis Socarras edit  openurl
  Title Image segmentation for improving pedestrian detection Type Report
  Year 2011 Publication CVC Technical Report Abbreviated Journal  
  Volume 167 Issue Pages  
  Keywords  
  Abstract  
  Address (up) Bellaterra (Spain)  
  Corporate Author Computer Vision Center Thesis Master's 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  
  Notes ADAS; Approved no  
  Call Number Admin @ si @ Soc2011 Serial 1933  
Permanent link to this record
 

 
Author Maria del Camp Davesa edit  openurl
  Title Human action categorization in image sequences Type Report
  Year 2011 Publication CVC Technical Report Abbreviated Journal  
  Volume 169 Issue Pages  
  Keywords  
  Abstract  
  Address (up) Bellaterra (Spain)  
  Corporate Author Computer Vision Center Thesis Master's 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  
  Notes CiC;CIC Approved no  
  Call Number Admin @ si @ Dav2011 Serial 1934  
Permanent link to this record
 

 
Author Albert Andaluz edit   pdf
url  openurl
  Title Harmonic Phase Flow: User's guide Type Manual
  Year 2012 Publication CVC Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  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
 
  Address (up) Bellaterra, Barcelona (Spain)  
  Corporate Author Computer Vision Center Thesis  
  Publisher CVC Place of Publication Barcelona Editor  
  Language english Summary Language english 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 @ And2012 Serial 1863  
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 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 (up) 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  
Permanent link to this record
 

 
Author S. Garcia; Dani Rowe; Jordi Gonzalez; Juan J. Villanueva edit  openurl
  Title Articulated Object Modelling Using Neural Gas Networks Type Miscellaneous
  Year 2005 Publication 5th IASTED International Conference on Visualization, Imaging and Image Processing (VIIP’2005) Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (up) Benidorm (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  
  Notes Approved no  
  Call Number ISE @ ise @ GRG2005 Serial 606  
Permanent link to this record
 

 
Author Joan Serrat; Jordi Vitria; J. Pladellorens edit  openurl
  Title Morphological Segmentation of Heart Scintigraphic image Sequences. Type Conference Article
  Year 1991 Publication Computer Assisted Radiology. Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (up) Berlin  
  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  
  Notes ADAS;OR;MV Approved no  
  Call Number ADAS @ adas @ SVP1991 Serial 263  
Permanent link to this record
 

 
Author Josep Llados; Gemma Sanchez; K. Tombre edit  openurl
  Title An Error-Correction Graph Grammar to Recognize Texture Symbols. Type Miscellaneous
  Year 2002 Publication Graphics Recognition: Algorithms and Apllications, LNCS 2390: 128–138, Springer Verlag. Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (up) Berlin  
  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  
  Notes DAG Approved no  
  Call Number DAG @ dag @ LST2002 Serial 281  
Permanent link to this record
 

 
Author Mikhail Mozerov edit  openurl
  Title An Effective Stereo Matching Algorithm with Optimal Path Cost Aggregation Type Book Chapter
  Year 2006 Publication 28th Annual Symposium of the German Association for Pattern Recognition, LNCS 4174: 617–626 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (up) Berlin (Germany)  
  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  
  Notes ISE Approved no  
  Call Number ISE @ ise @ Moz2006 Serial 677  
Permanent link to this record
 

 
Author Mikhail Mozerov; Ignasi Rius; Xavier Roca; Jordi Gonzalez edit  openurl
  Title 3D Human Motion Sequences Synchronization Using Dense Matching Algorithm Type Book Chapter
  Year 2006 Publication 28th Annual Symposium of the German Association for Pattern Recognition, LNCS 4174: 485–494, ISBN 978–3–540–44412–1 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (up) Berlin (Germany)  
  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  
  Notes ISE Approved no  
  Call Number ISE @ ise @ MRR2006 Serial 678  
Permanent link to this record
 

 
Author Dani Rowe; I. Reid; Jordi Gonzalez; Juan J. Villanueva edit  openurl
  Title Unconstrained Multiple-People Tracking Type Book Chapter
  Year 2006 Publication 28th Annual Symposium of the German Association for Pattern Recognition, LNCS 4174: 505–514, ISBN 978–3–540–44412–1 Abbreviated Journal  
  Volume Issue Pages  
  Keywords  
  Abstract  
  Address (up) Berlin (Germany)  
  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  
  Notes Approved no  
  Call Number ISE @ ise @ RRG2006 Serial 769  
Permanent link to this record
 

 
Author Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera edit   pdf
openurl 
  Title Three-Dimensional Design of Error Correcting Output Codes Type Conference Article
  Year 2012 Publication 8th International Conference on Machine Learning and Data Mining Abbreviated Journal  
  Volume Issue Pages 29-  
  Keywords  
  Abstract  
  Address (up) Berlin, Germany  
  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 MLDM  
  Notes HuPBA;MILAB Approved no  
  Call Number Admin @ si @ BGE2012a Serial 2041  
Permanent link to this record
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records: