San Sebastián de los Reyes, Spain
San Sebastián de los Reyes, Spain

Time filter

Source Type

Garcia A.,Vicomtech | Arbelaitz O.,University of the Basque Country | Vansteenwegen P.,Catholic University of Leuven | Souffriau W.,Catholic University of Leuven | Linaza M.T.,Vicomtech
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2010

The Time Dependent Orienteering Problem with Time Windows (TDOPTW) consists of a set of locations with associated time windows and scores. Visiting a location allows to collect its score as a reward. Traveling time between locations varies depending on the leave time. The objective is to obtain a route that maximizes the obtained score within a limited amount of time. In this paper we target the use of public transportation in a city, where users may move on foot or by public transportation. The approach can also be applied to the logistic sector, for example to the multimodal freight transportation. We apply an hybrid approach to tackle the problem. Experimental results for the city of San Sebastian show we are able to obtain valid routes in real-time. © 2010 Springer-Verlag.

Garcia A.,Vicomtech | Vansteenwegen P.,Ghent University | Arbelaitz O.,University of the Basque Country | Souffriau W.,Catholic University of Leuven | Linaza M.T.,Vicomtech
Computers and Operations Research | Year: 2013

Personalised electronic tourist guides (PETs) are mobile hand-held devices able to create tourist routes matching tourists' preferences. Transportation information has been identified as one of the most appreciated functionalities of a PET. We model the tourist planning problem, integrating public transportation, as the time-dependent team orienteering problem with time windows (TD-TOPTW) in order to allow PETs to create personalised tourist routes in real-time. We develop and compare two different approaches to solve the TD-TOPTW. Experimental results for the city of San Sebastian show that both approaches are able to obtain routes in real-time. © 2011 Elsevier Ltd.

Olaizola I.G.,Vicomtech | Quartulli M.,Vicomtech | Florez J.,Vicomtech | Sierra B.,University of the Basque Country
IEEE Transactions on Multimedia | Year: 2014

Context categorization is a fundamental pre-requisite for multi-domain multimedia content analysis applications. Most feature extraction methods require prior knowledge to decide if they are suitable for a specific domain and to optimize their input parameters. In this paper, we introduce a new color image context categorization method (DITEC) based on the trace transform. The problem of dimensionality reduction of the obtained trace transform signal is addressed through statistical descriptors of its frequency representation that keep the underlying information. We also analyze the distortions produced by the parameters that determine the sampling of the discrete trace transform. Moreover, Feature Subset Selection (FSS) is applied to both, improve the classification performance and compact the final length of the descriptor that will be provided to the classifier. These extracted features offer a highly discriminant behavior for content categorization without prior knowledge requirements. The method has been experimentally validated through two different datasets. © 2014 IEEE.

Macia I.,Vicomtech | Macia I.,University of the Basque Country | Grana M.,University of the Basque Country
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

Accurate detection and extraction of 3D vascular structures is a crucial step for many medical image applications that require vascular analysis. Vessel tracking algorithms iteratively follow vascular branches point by point, obtaining geometric descriptors, such as centerlines and sections of branches, that describe patient-specific vasculature. In order to obtain these descriptors, most approaches use specialized scaled vascular feature detectors. However, these detectors may fail due to the presence of nearby spurious structures, incorrect scale or parameter choice or other undesired effects, obtaining incorrect local sections which may lead to unrecoverable errors during the tracking procedure. We propose to combine this approach with an evolutionary optimization framework that use specific modified vascular detectors as cost functions in order to obtain accurate vascular sections when the direct detection approach fails. We demonstrate the validity of this new approach with experiments using real datasets. We also show that, for a family of medialness functions, the procedure can be performed at fixed small scales which is computationally efficient for local kernel-based estimators. © 2012 Springer-Verlag.

Goienetxea I.,University of the Basque Country | Barandiaran I.,Vicomtech | Jauquicoa C.,Vicomtech | Maclair G.,Vicomtech | Grana M.,University of the Basque Country
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

The karyotyping step is essential in the genetic diagnosis process, since it allows the genetician to see and interpret patient's chromosomes. Today, this step of karyotyping is a time-cost procedure, especially the part that consists in segmenting and classifying the chromosomes by pairs. This paper presents an image analysis pipeline of banded human chromosomes for automated karyotyping. The proposed pipeline is composed of three different stages: an image segmentation step, a feature extraction procedure and a final pattern classification task. Two different approaches for the final classification stage were studied, and different classifiers were compared. The obtained results shows that Random Forest classifier combined with a two step classification approach can be considered as an efficient and accurate method for karyotyping. © 2012 Springer-Verlag.

Llaria A.,ESTIA | Terrasson G.,ESTIA | Arregui H.,Vicomtech | Hacala A.,ESTIA
Proceedings of the IEEE International Conference on Industrial Technology | Year: 2015

Nowadays, interconnected ubiquitous objects are more and more present in different applications as a technical solution to collect, every time and everywhere, great amounts of data which are accessible through the Internet. One interesting area of application is the monitoring of cattle, in order not only to improve the farming working conditions but also to better know the behavior of the animals. In this work, a geolocation and monitoring platform oriented to extensive farming in mountain environments is presented. The proposed solution is composed of low power long range communication geolocation devices and a dedicated interface, accessible by means of different portable devices, which allows users to access and study the collected data. © 2015 IEEE.

Congote J.,EAFIT University | Moreno A.,VICOMTech | Barandiaran I.,VICOMTech | Barandiaran J.,VICOMTech | Ruiz O.,EAFIT University
Communications in Computer and Information Science | Year: 2010

This work proposes an extension of the Marching Cubes algorithm, where the goal is to represent implicit functions with higher accuracy using the same grid size. The proposed algorithm displaces the vertices of the cubes iteratively until the stop condition is achieved. After each iteration, the difference between the implicit and the explicit representations is reduced, and when the algorithm finishes, the implicit surface representation using the modified cubical grid is more accurate, as the results shall confirm. The proposed algorithm corrects some topological problems that may appear in the discretization process using the original grid. © 2010 Springer-Verlag Berlin Heidelberg.

Barandiaran I.,VICOMTech | Paloc C.,VICOMTech | Grana M.,VICOMTech
Journal of Real-Time Image Processing | Year: 2010

Augmented reality (AR) technology consists in adding computer-generated information (2D/3D) to a real video sequence in such a manner that the real and virtual objects appear coexisting in the same world. To get a realistic illusion, the real and virtual objects must be properly aligned with respect to each other, which requires a robust real-time tracking strategy-one of the bottlenecks of AR applications. In this paper, we describe the limitations and advantages of different optical tracking technologies, and we present our customized implementation of both recursive tracking and tracking by detection approaches. The second approach requires the implementation of a classifier and we propose the use of a Random Forest classifier. We evaluated both approaches in the context of an AR application for design review. Some conclusions regarding the performance of each approach are given. © 2009 Springer-Verlag.

Wang Z.,Technical University of Delft | Zlatanova S.,Technical University of Delft | Moreno A.,Vicomtech | van Oosterom P.,Technical University of Delft | Toro C.,Vicomtech
Computers and Geosciences | Year: 2014

The ability to guide relief vehicles to safety and quickly pass through environments affected by fires is critical in fighting forest fires. In this paper, we focus on route determination in the case of forest fires, and propose a data model that supports finding paths among moving obstacles. This data model captures both static information, such as the type of the response team, the topology of the road network, and dynamic information, such as sensor information, changing availabilities of roads during disasters, and the position of the vehicle. We use a fire simulation model to calculate the fire evolution. The spread of the fire is represented as movements of obstacles that block the responders[U+05F3] path in the road network. To calculate safe and optimal routes avoiding obstacles, the A* algorithm is extended to consider the predicted availabilities of roads. We prove the optimality of the path calculated by our algorithm and then evaluate it in simulated scenarios. The results show that our model and algorithm are effective in planning routes that avoid one or more fire-affected areas and that the outlook for further investigation is promising. © 2014 Elsevier Ltd. All rights reserved.

Guretruck S.L. and Vicomtech | Date: 2011-11-09

Digitisation method of the information contained in analogue tachographs, which is robust against noise in the main chart, which, from the scanned image of the analogue card, allows the automated determination of the position and the orientation of the card in the image, converting the information recorded in a circular manner to linear for the automated extraction of the parameters start and final end of the period of activity of the driver, as well as events occurring during said period, i.e. driving, other duty, standby and rest periods; kilometers of distance travelled and periods of driver and co-driver states, when the driver is working in a team mode.

Loading Vicomtech collaborators
Loading Vicomtech collaborators