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Miguel Reyes; Jose Ramirez Moreno; Juan R Revilla; Petia Radeva; Sergio Escalera |
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Title |
ADiBAS: Sistema Multisensor de Adquisicion Automatica de Datos Corporales Objetivos, Robustos y Fiables para el Analisis de la Postura y el Movimiento |
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Conference Article |
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2011 |
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6th Congreso Iberoamericano de Tecnologia de Apoyo a la Discapacidad |
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939-944 |
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El análisis de la postura y del rango de movimiento son fundamentales para conocer la optimización del gesto y mejorar, de este modo, el rendimiento y la detección de posibles lesiones. Esta cuantificación es especialmente interesante en deportistas o en pacientes que presentan alguna lesión neurológica o del sistema musculo-esquelético, ya que permite conocer el proceso evolutivo de estos pacientes, evaluar la eficacia de la terapia aplicada y proponer, en caso necesario, una modificación del protocolo de tratamiento.
En este trabajo presentamos un sistema automático que permite, mediante una tecnología no invasiva, la captación automática de marcadores LED situados sobre el paciente y su posterior análisis con el fin de mostrar al especialista datos objetivos que permitan un mejor soporte diagnóstico. También se describe un
sistema analítico de la postura corporal sin marcadores, donde su ejecución durante secuencias dinámicas aporta un alto grado de naturalidad al paciente a la hora de realizar los ejercicios funcionales. |
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Palma de Mallorca |
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IBERDISCAP |
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MILAB;HuPBA |
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Admin @ si @ RRR2011 |
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1768 |
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Author |
Jordi Gonzalez; Dani Rowe; Juan Andrade; Juan J. Villanueva |
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Title |
Efficient Management of Multiple Agent Tracking Through Observation Handling |
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Miscellaneous |
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2006 |
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6th IASTED International Conference on Visualization, Imaging and Image Processing (VIIP´06) |
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Palma de Mallorca (Spain) |
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ISE @ ise @ GRA2006 |
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662 |
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Author |
David Geronimo; Angel Sappa; Antonio Lopez; Daniel Ponsa |
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Title |
Pedestrian Detection Using AdaBoost Learning of Features and Vehicle Pitch Estimation |
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Miscellaneous |
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Year |
2006 |
Publication |
6th IASTED International Conference on Visualization, Imaging and Image Processing |
Abbreviated Journal |
VIIP |
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400–405 |
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Keywords |
ADAS, pedestrian detection, adaboost learning, pitch estimation, haar wavelets, edge orientation histograms. |
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Abstract |
In this paper we propose a combination of different Haar filter sets and Edge Orientation Histograms (EOH) in order to learn a model for pedestrian detection. As we will show, with the addition of EOH we obtain better ROCs than using Haar filters alone. Hence, a model consisting of discriminant features, selected by AdaBoost, is applied at pedestrian-sized image windows in order to perform
the classification. Additionally, taking into account the final application, a driver assistance system with realtime requirements, we propose a novel stereo-based camera pitch estimation to reduce the number of explored windows.
With this approach, the system can work in urban roads, as will be illustrated by current results. |
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Palma de Mallorca (Spain) |
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ADAS |
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ADAS @ adas @ GSL2006 |
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672 |
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Author |
Francisco Javier Orozco; Pau Baiget; Jordi Gonzalez; Xavier Roca |
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Title |
Eyelids and Face Tracking in Real-Time |
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Miscellaneous |
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2006 |
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6th IASTED International Conference Visualization, Imaging, and Image Processing (VIIP´06), 165–170 |
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Palma de Mallorca (Spain) |
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ISE @ ise @ OBG2006 |
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730 |
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Author |
Juan J. Villanueva |
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Title |
Visualization, Imaging, and Image Processing, |
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2008 |
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Proceedings of the Eight IASTED International Conference |
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Palma de Mallorca (Spain) |
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978-0-88986-759-8 |
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ISE @ ise @ Vil2008 |
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1003 |
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Author |
Juan J. Villanueva; Jordi Gonzalez; Javier Varona; Xavier Roca |
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Title |
Aspaces: Action Spaces for Recognition and Synthesis of Human Actions. |
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Miscellaneous |
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2002 |
Publication |
II International Workshop Articulated Motion and Deformable Objects AMDO 2002. |
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Palma de Mallorca, Espanya |
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ISE |
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ISE @ ise @ VGV2002 |
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302 |
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Author |
Jordi Gonzalez; Javier Varona; Xavier Roca; Juan J. Villanueva |
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Title |
A Human Action Comparison Framework for Motion Understanding |
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2003 |
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Palma de Mallorca, Spain |
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ISE |
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ISE @ ise @ GVR2003e |
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361 |
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Author |
Javier Varona; Jordi Gonzalez; Xavier Roca; Juan J. Villanueva |
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Title |
Automatic Selection of Keyframes for Activity Recognition. |
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Miscellaneous |
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2000 |
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International Workshop on Articulated Motion and Deformable Objects ( AMDO&rsquo), 173–181. |
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Palma de Mallorca. |
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ISE |
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ISE @ ise @ VGR2000b |
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243 |
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Author |
Oualid M. Benkarim; Petia Radeva; Laura Igual |
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Title |
Label Consistent Multiclass Discriminative Dictionary Learning for MRI Segmentation |
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Conference Article |
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2014 |
Publication |
8th Conference on Articulated Motion and Deformable Objects |
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8563 |
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138-147 |
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Keywords |
MRI segmentation; sparse representation; discriminative dic- tionary learning; multiclass classi cation |
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Abstract |
The automatic segmentation of multiple subcortical structures in brain Magnetic Resonance Images (MRI) still remains a challenging task. In this paper, we address this problem using sparse representation and discriminative dictionary learning, which have shown promising results in compression, image denoising and recently in MRI segmentation. Particularly, we use multiclass dictionaries learned from a set of brain atlases to simultaneously segment multiple subcortical structures.
We also impose dictionary atoms to be specialized in one given class using label consistent K-SVD, which can alleviate the bias produced by unbalanced libraries, present when dealing with small structures. The proposed method is compared with other state of the art approaches for the segmentation of the Basal Ganglia of 35 subjects of a public dataset.
The promising results of the segmentation method show the eciency of the multiclass discriminative dictionary learning algorithms in MRI segmentation problems. |
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Palma de Mallorca; July 2014 |
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Springer International Publishing |
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LNCS |
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0302-9743 |
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978-3-319-08848-8 |
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AMDO |
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MILAB; OR |
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Admin @ si @ BRI2014 |
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2494 |
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Author |
Pejman Rasti; Tonis Uiboupin; Sergio Escalera; Gholamreza Anbarjafari |
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Title |
Convolutional Neural Network Super Resolution for Face Recognition in Surveillance Monitoring |
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Conference Article |
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2016 |
Publication |
9th Conference on Articulated Motion and Deformable Objects |
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Palma de Mallorca; Spain; July 2016 |
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AMDO |
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HuPBA;MILAB |
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Admin @ si @ RUE2016 |
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2846 |
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Author |
Dennis H. Lundtoft; Kamal Nasrollahi; Thomas B. Moeslund; Sergio Escalera |
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Title |
Spatiotemporal Facial Super-Pixels for Pain Detection |
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Conference Article |
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2016 |
Publication |
9th Conference on Articulated Motion and Deformable Objects |
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Facial images; Super-pixels; Spatiotemporal filters; Pain detection |
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Abstract |
Best student paper award.
Pain detection using facial images is of critical importance in many Health applications. Since pain is a spatiotemporal process, recent works on this topic employ facial spatiotemporal features to detect pain. These systems extract such features from the entire area of the face. In this paper, we show that by employing super-pixels we can divide the face into three regions, in a way that only one of these regions (about one third of the face) contributes to the pain estimation and the other two regions can be discarded. The experimental results on the UNBCMcMaster database show that the proposed system using this single region outperforms state-of-the-art systems in detecting no-pain scenarios, while it reaches comparable results in detecting weak and severe pain scenarios. |
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Palma de Mallorca; Spain; July 2016 |
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AMDO |
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HUPBA;MILAB |
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Admin @ si @ LNM2016 |
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2847 |
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Author |
X. Orriols; Lluis Barcelo; X. Binefa |
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Title |
An Appearance-Based Method for Parametric Video Registration. |
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2001 |
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Paris |
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Admin @ si @ OBB2001b |
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145 |
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Author |
Gemma Sanchez; Josep Llados; Enric Marti |
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Title |
Segmentation and analysis of linial texture in plans |
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1997 |
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Intelligence Artificielle et Complexité. |
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Structural Texture, Voronoi, Hierarchical Clustering, String Matching. |
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The problem of texture segmentation and interpretation is one of the main concerns in the field of document analysis. Graphical documents often contain areas characterized by a structural texture whose recognition allows both the document understanding, and its storage in a more compact way. In this work, we focus on structural linial textures of regular repetition contained in plan documents. Starting from an atributed graph which represents the vectorized input image, we develop a method to segment textured areas and recognize their placement rules. We wish to emphasize that the searched textures do not follow a predefined pattern. Minimal closed loops of the input graph are computed, and then hierarchically clustered. In this hierarchical clustering, a distance function between two closed loops is defined in terms of their areas difference and boundary resemblance computed by a string matching procedure. Finally it is noted that, when the texture consists of isolated primitive elements, the same method can be used after computing a Voronoi Tesselation of the input graph. |
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Paris, France |
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Paris |
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AERFAI |
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DAG;IAM; |
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IAM @ iam @ SLM1997 |
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1649 |
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Author |
David Roche; Debora Gil; Jesus Giraldo |
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Using statistical inference for designing termination conditions ensuring convergence of Evolutionary Algorithms |
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2011 |
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11th European Conference on Artificial Life |
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A main challenge in Evolutionary Algorithms (EAs) is determining a termination condition ensuring stabilization close to the optimum in real-world applications. Although for known test functions distribution-based quantities are good candidates (as far as suitable parameters are used), in real-world problems an open question still remains unsolved. How can we estimate an upper-bound for the termination condition value ensuring a given accuracy for the (unknown) EA solution?
We claim that the termination problem would be fully solved if we defined a quantity (depending only on the EA output) behaving like the solution accuracy. The open question would be, then, satisfactorily answered if we had a model relating both quantities, since accuracy could be predicted from the alternative quantity. We present a statistical inference framework addressing two topics: checking the correlation between the two quantities and defining a regression model for predicting (at a given confidence level) accuracy values from the EA output. |
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Paris, France |
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ECAL |
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IAM; |
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IAM @ iam @ RGG2011b |
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1678 |
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Author |
A. Martinez; Jordi Vitria; J. Lopez |
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Title |
Visual Recognition of Surroundings: A robot that knows where it is. |
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Miscellaneous |
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1997 |
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Intelligence Artificielle et Complexite. |
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Address |
Paris. |
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Notes |
OR;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ MVL1997 |
Serial |
59 |
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