Estimación del movimiento de objetos en secuencias de imágenes de intensidad y profundidad

Máster Universitario en Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI)

Desarrollo de un sistema de videoconferencia en HTML 5.0

[ES] Webcam App es una aplicación que tiene como principal objetivo social que las personas puedan realizar videoconferencias a través de la web de forma gratuita y sencilla. Para el desarrollo de la misma, fueron de gran utilidad los elementos que brinda HTML5.0 para dar soporte multimedia: y . También, se usan dos de las APIs que implementa WebRTC para la trasmisión de audio y video en tiempo real, obtenidos desde la webcam: MediaStream (getUserMedia) y RTCPeerConnection. Para soportar esta aplicación se elige Node.js como servidor web, pues entre sus puntos fuertes está la capacidad de mantener varias conexiones abiertas, característica fundamental en una aplicación de videollamadas, donde miles de usuarios crean y envían solicitudes de conexión simultáneamente. Con el fin de aportarle una apariencia agradable a la aplicación, un entorno usable y conocido para los usuarios, se utiliza CMS Elgg como marco de red social. CMS Elgg provee de funcionalidades comunes, como por ejemplo: conectar con amigos, enviar mensajes, compartir contenido. Como metodología base se usa el Proceso Unificado de Desarrollo de Software, posibilitando que la realización de este trabajo se haya hecho de una manera organizada y se obtuvieran artefactos para el desarrollo. Como resultado del trabajo, se obtiene una solución Open Source que sirve como un modelo de comunicación en tiempo real sin necesidad de descargar, instalar o actualizar ningún complemento de terceros y que demuestra la fiabilidad de los sistemas basados en HTML5 y WebRTC.

Computing inverse optical flow

[EN] We propose four algorithms for computing the inverse optical flow between two images. We assume that the forward optical flow has already been obtained and we need to estimate the flow in the backward direction. The forward and backward flows can be related through a warping formula, which allows us to propose very efficient algorithms. These are presented in increasing order of complexity. The proposed methods provide high accuracy with low memory requirements and low running times.In general, the processing reduces to one or two image passes. Typically, when objects move in a sequence, some regions may appear or disappear. Finding the inverse flows in these situations is difficult and, in some cases, it is not possible to obtain a correct solution. Our algorithms deal with occlusions very easy and reliably. On the other hand, disocclusions have to be overcome as a post-processing step. We propose three approaches for filling disocclusions. In the experimental results, we use standard synthetic sequences to study the performance of the proposed methods, and show that they yield very accurate solutions. We also analyze the performance of the filling strategies. 

Desarrollo y validación del cuestionario de apoyo social V.I.D.A. (Vínculos Interpersonales de Apoyo)

Programa de doctorado: Salud, relación de ayuda y psicoterapia

Implementation of a robust optical flow method for color images

We analyse the influence of colour information in optical flow methods. Typically, most of these techniques compute their solutions using grayscale intensities due to its simplicity and faster processing, ignoring the colour features. However, the current processing systems have minimized their computational cost and, on the other hand, it is reasonable to assume that a colour image offers more details from the scene which should facilitate finding better flow fields. The aim of this work is to determine if a multi-channel approach supposes a quite enough improvement to justify its use. In order to address this evaluation, we use a multi-channel implementation of a well-known TV-L1 method. Furthermore, we review the state-of-the-art in colour optical flow methods. In the experiments, we study various solutions using grayscale and RGB images from recent evaluation datasets to verify the colour benefits in motion estimation.

La resiliencia en entrenadores de atletismo de alto rendimiento

[ES] Los objetivos del presente estudio son: 1) Describir los niveles de resiliencia en entrenadores de atletismo de alto rendimiento; 2) determinar los niveles de fiabilidad de los datos obtenidos con la muestra seleccionada; 3) comparar los resultados obtenidos con estudios precedentes. Se administró una adaptación de la entrevista para entrenadores de Ruiz (2004) y la adaptación al castellano de la escala de Resiliencia de Wagnield y Young (1993).

Performance evaluation of a parallel algorithm for simultaneous untangling and smoothing of tetrahedral meshes

[EN]A new parallel algorithm for simultaneous untangling and smoothing of tetrahedral meshes is proposed in this paper. We provide a detailed analysis of its performance on shared-memory many-core computer architectures. This performance analysis includes the evaluation of execution time, parallel scalability, load balancing, and parallelism bottlenecks. Additionally, we compare the impact of three previously published graph coloring procedures on the performance of our parallel algorithm. We use six benchmark meshes with a wide range of sizes. Using these experimental data sets, we describe the behavior of the parallel algorithm for different data sizes. We demonstrate that this algorithm is highly scalable when it runs on two different high-performance many-core computers with up to 128 processors...

Hand pose detection for vision-based gesture interfaces

[EN]Vision-based applications designed for humanmachine interaction require fast and accurate hand detection. However, previous works on this field assume different constraints, like a limitation in the number of detected gestures, because hands are highly complex objects to locate. This paper presents an approach which changes the detection target without limiting the number of detected gestures. Using a cascade classifier we detect hands based on their wrists. With this approach, we introduce two main contributions: (1) a reliable segmentation, independently of the gesture being made and (2) a training phase faster than previous cascade classifier based methods. The paper includes experimental evaluations with different video streams that illustrate the efficiency and suitability for perceptual interfaces.

Reingeniería de servicios para el desarrollo evolutivo de sistemas de información en las administraciones públicas: un enfoque metodológico

Programa de doctorado: Percepción artificial y aplicaciones

Real-time tracking system using C80 DSPs and a binocular robotic head

[EN]An active vision system to perform tracking of moving objects in real time is described. The main goal is to obtain a system integrating off-the-self components. These components includes a stereoscopic robotic-head, as active perception hardware; a DSP based board SDB C80, as massive data processor and image acquisition board; and finally, a Pentium PC running Windows NT that interconnects and manages the whole system. Real-time is achieved taking advantage of the special architecture of DSP. An evaluation of the performance is included.

Vídeo tutorial sobre búsquedas en internet

[ES]Vídeo tutorial en el que se resuelve un conjunto de preguntas enlazadas por medio de herramientas de búsqueda en internet

Multi-scale score level fusion of local descriptors for gender classification in the wild

The 2015 FRVT gender classification (GC) report evidences the problems that current approaches tackle in situations with large variations in pose, illumination, background and facial expression. The report suggests that both commercial and research solutions are hardly able to reach an accuracy over 90% for The Images of Groups dataset, a proven scenario exhibiting unrestricted or in the wild conditions. In this paper, we focus on this challenging dataset, stepping forward in GC performance by observing: 1) recent literature results combining multiple local descriptors, and 2) the psychophysics evidences of the greater importance of the ocular and mouth areas to solve this task...

Advances in an emergency management software for the Canary Islands

[EN]Capaware is a free software platform to develop 3D multilayer geographical applications. The project has been developed by the Technological Institute of the Canary Islands and the University of Las Palmas de Gran Canaria during the last years.

New meshing capabilities for efficient and quality navigation on a virtual globe

[EN]Polygonal meshes are powerful structures to represent geometric information of the Earth’s surface. In particular, triangle meshes have been massively used as a reliable way to efficiently represent the land surface with real time responses in virtual navigation. In this work we present new ideas for the underlying treatment of a mesh that improve efficiency and quality in the navigation.