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Author |
Pau Baiget |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Modeling Human Behavior for Image Sequence Understanding and Generation |
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Book Whole |
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2009 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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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. |
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Address ![sorted by Address field, ascending order (up)](img/sort_asc.gif) |
Bellaterra (Spain) |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Jordi Gonzalez;Xavier Roca |
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Admin @ si @ Bai2009 |
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1210 |
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Author |
Joan Serrat; Antonio Lopez |
![goto web page url](img/www.gif)
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Title |
Deteccion automatica de lineas de carril para la asistencia a la conduccion |
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2010 |
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UAB Divulga – Revista de divulgacion cientifica |
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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. |
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Bellaterra (Spain) |
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ADAS |
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ADAS @ adas @ SeL2010 |
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1430 |
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David Geronimo; Antonio Lopez |
![goto web page url](img/www.gif)
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Title |
Sistema de deteccion de peatones |
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Miscellaneous |
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2010 |
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UAB Divulga |
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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. |
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Bellaterra (Spain) |
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spreading;ADAS |
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ADAS @ adas @ GeL2010b |
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1473 |
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Author |
Alejandro Gonzalez Alzate |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Evaluation of spatiotemporal descriptors for pedestrian detection in video sequences |
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Report |
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2011 |
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CVC Technical Report |
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166 |
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Address ![sorted by Address field, ascending order (up)](img/sort_asc.gif) |
Bellaterra (Spain) |
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Computer Vision Center |
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Master's thesis |
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Admin @ si @ Gon2011 |
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1932 |
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Author |
Yainuvis Socarras |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Image segmentation for improving pedestrian detection |
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Report |
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2011 |
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CVC Technical Report |
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167 |
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Address ![sorted by Address field, ascending order (up)](img/sort_asc.gif) |
Bellaterra (Spain) |
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Computer Vision Center |
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Master's thesis |
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ADAS; |
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Admin @ si @ Soc2011 |
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1933 |
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Author |
Maria del Camp Davesa |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Human action categorization in image sequences |
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Report |
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2011 |
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CVC Technical Report |
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169 |
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Bellaterra (Spain) |
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Computer Vision Center |
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Master's thesis |
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CiC;CIC |
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Admin @ si @ Dav2011 |
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1934 |
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Author |
Albert Andaluz |
![download PDF file pdf](img/file_PDF.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Harmonic Phase Flow: User's guide |
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Manual |
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2012 |
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CVC |
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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 |
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Address ![sorted by Address field, ascending order (up)](img/sort_asc.gif) |
Bellaterra, Barcelona (Spain) |
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Computer Vision Center |
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CVC |
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Barcelona |
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english |
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english |
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IAM |
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IAM @ iam @ And2012 |
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1863 |
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Author |
David Vazquez; Antonio Lopez |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Intrusion Classification in Intelligent Video Surveillance Systems |
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2008 |
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Estudis d'Enginyeria Superior en Informática |
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Human detection; Car detection; Intrusion detection |
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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 @ adas @ VL2008a |
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1670 |
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Author |
S. Garcia; Dani Rowe; Jordi Gonzalez; Juan J. Villanueva |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Articulated Object Modelling Using Neural Gas Networks |
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2005 |
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5th IASTED International Conference on Visualization, Imaging and Image Processing (VIIP’2005) |
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Benidorm (Spain) |
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ISE @ ise @ GRG2005 |
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Author |
Joan Serrat; Jordi Vitria; J. Pladellorens |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Morphological Segmentation of Heart Scintigraphic image Sequences. |
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1991 |
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Computer Assisted Radiology. |
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Berlin |
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ADAS @ adas @ SVP1991 |
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Josep Llados; Gemma Sanchez; K. Tombre |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
An Error-Correction Graph Grammar to Recognize Texture Symbols. |
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2002 |
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Graphics Recognition: Algorithms and Apllications, LNCS 2390: 128–138, Springer Verlag. |
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Mikhail Mozerov |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
An Effective Stereo Matching Algorithm with Optimal Path Cost Aggregation |
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2006 |
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28th Annual Symposium of the German Association for Pattern Recognition, LNCS 4174: 617–626 |
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Mikhail Mozerov; Ignasi Rius; Xavier Roca; Jordi Gonzalez |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
3D Human Motion Sequences Synchronization Using Dense Matching Algorithm |
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2006 |
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28th Annual Symposium of the German Association for Pattern Recognition, LNCS 4174: 485–494, ISBN 978–3–540–44412–1 |
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Dani Rowe; I. Reid; Jordi Gonzalez; Juan J. Villanueva |
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Title |
Unconstrained Multiple-People Tracking |
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2006 |
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28th Annual Symposium of the German Association for Pattern Recognition, LNCS 4174: 505–514, ISBN 978–3–540–44412–1 |
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no |
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Call Number |
ISE @ ise @ RRG2006 |
Serial |
769 |
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Author |
Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Three-Dimensional Design of Error Correcting Output Codes |
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Conference Article |
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Year |
2012 |
Publication |
8th International Conference on Machine Learning and Data Mining |
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Pages |
29- |
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Address ![sorted by Address field, ascending order (up)](img/sort_asc.gif) |
Berlin, Germany |
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Conference |
MLDM |
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Notes |
HuPBA;MILAB |
Approved |
no |
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Call Number |
Admin @ si @ BGE2012a |
Serial |
2041 |
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