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University of Las Palmas de Gran Canaria, Spain
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47 Papers

AveRobot: An Audio-visual Dataset for People Re-identification and Verification in Human-Robot Interaction

Topics: Biometrics; Robotics; Image and Video Analysis and Understanding

Authors: Mirko Marras 1 , Pedro Marín-Reyes 2 , Javier Lorenzo-Navarro 2 , Modesto Castrillón-Santana 2 and Gianni Fenu 1

Affiliations: 1 Department of Mathematics and Computer Science, University of Cagliari, V. Ospedale 72, 09124 Cagliari and Italy , 2 Instituto Universitario Sistemas Inteligentes y Aplicaciones Numericas en Ingenieria (SIANI), Universidad de Las Palmas de Gran Canaria, Campus Universitario de Tafira, 35017 Las Palmas de Gran Canaria and Spain

Digital Object Identifier: 10.5220/0007690902550265

Proceedings of ICPRAM 2019, ISBN: 978-989-758-351-3

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Intelligent technologies have pervaded our daily life, making it easier for people to complete their activities. One emerging application is involving the use of robots for assisting people in various tasks (e.g., visiting a museum). In this context, it is crucial to enable robots to correctly identify people. Existing robots often use facial information to establish the identity of a person of interest. But, the face alone may not offer enough relevant information due to variations in pose, illumination, resolution and recording distance. Other biometric modalities like the voice can improve the recognition performance in these conditions. However, the existing datasets in robotic scenarios usually do not include the audio cue and tend to suffer from one or more limitations: most of them are acquired under controlled conditions, limited in number of identities or samples per user, collected by the same recording device, and/or not freely available. In this paper, we propose AveRobot, an audio-visual dataset of 111 participants vocalizing short sentences under robot assistance scenarios. The collection took place into a three-floor building through eight different cameras with built-in microphones. The performance for face and voice re-identification and verification was evaluated on this dataset with deep learning baselines, and compared against audio-visual datasets from diverse scenarios. The results showed that AveRobot is a challenging dataset for people re-identification and verification.
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Applications

Biometrics and Pattern Recognition

Robotics

Biomedical Engineering

Multimedia

Software Engineering

Biomedical Signal Processing

Multimedia Signal Processing

Telecommunications
Biometrics

Pattern Recognition

A Preliminary Review of Behavioural Biometrics for Health Monitoring in the Elderly

Authors: Jordi Solé-Casals , Mihaela Vancea and Jaume Miquel March

Affiliation: University of Vic - Central University of Catalonia, Spain

Digital Object Identifier: 10.5220/0005321603650371

Proceedings of MPBS 2015/BIOSTEC, ISBN: 978-989-758-069-7

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This article explores the potential of ICT-based biometrics for monitoring the health status of the elderly people. It departs from specific ageing and biometric traits to then focus on behavioural biometric traits like handwriting, speech and gait to finally explore their practical application in health monitoring of elderly.

Face Recognition by Fast and Stable Bi-dimensional Empirical Mode Decomposition

Authors: Esteve Gallego-Jutglà 1 , Saad Al-Baddai 2 , Karema Al-Subari 2 , Ana Maria Tomé 3 , Elmar W. Lang 2 and Jordi Solé-Casals 1

Affiliations: 1 University of Vic, Spain , 2 University of Regensburg, Germany , 3 University of Aveiro, Portugal

Digital Object Identifier: 10.5220/0005337003850391

Proceedings of MPBS 2015/BIOSTEC, ISBN: 978-989-758-069-7

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In this study the use of a new fast and stable decomposition technique, bi-dimensional empirical mode decomposition, is used for face recognition tasks. Images are decomposed individually, and then the distance with reference images is computed. Three different types of distances are tested. Then class association is based on minimum distance and by using a classifier. Preliminary results (90.0% of classification rate) are satisfactory and will justify a deep investigation on how to apply this bi- dimensional decomposition technique for face recognition.

Managing and 3D Visualization of Real-time Big Geo-referenced Data from Las Palmas Port through a Flexible Open Source Computer Architecture

Topics: Web Applications; Big Data and GIS

Authors: José P. Suárez , Agustín Trujillo , Conrado Domínguez , José M. Santana and Pablo Fernández

Affiliation: University of Las Palmas de Gran Canaria, Spain

Digital Object Identifier: 10.5220/0005371700720082

Proceedings of GISTAM 2015, ISBN: 978-989-758-099-4

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Nowadays, new technologies assist the capture and analysis of data for all kinds of organizations. A good example of this trend are the seaports that generate data regarding the management of marine traffic and other elements, as well as environmental conditions given by meteorological sensors and buoys. However, this enormous amount of data, also known as “Big Data”, is useless without a proper system to visualize and organize them. Governments are fully aware of this and promote the creation of visualization and control systems that are useful to port authorities. In the line of management systems based on GIS, the SmartPort project has been developed. SmartPort offers a rich-internet application that allows the user to visualize and manage the different sources of information of a port environment. The “Big Data” management is based on the FI-WARE tools and architecture, as well as “The Internet of Things” solutions for the data acquisition. At the same time, the Glob3 Mobile SDK for the development of map apps will support the 3D visualization of the port’s scenery and its data sources.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Applications

Pattern Recognition

Web Applications

Detection and Tracking of the Human Hot Spot

Authors: Carlos M. Travieso 1 , Malay Kishore Dutta 2 , Jordi Solé-Casals 3 and Jesús B. Alonso 1

Affiliations: 1 University of Las Palmas de Gran Canaria, Spain , 2 Amity University, India , 3 Univesitat of Vic, Spain

Digital Object Identifier: 10.5220/0004941703250330

Proceedings of MPBS 2014/BIOSTEC, ISBN: 978-989-758-011-6

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This work presents an algorithm that receives as input a stream of thermal imaging detects heat sources present in them and classify them according to their mobility. After performing the experiment and given the results, it is concluded that the algorithm performed is able to discern and classify the different types of human bodies as long as you can provide a set of detection parameters adjusted to the situation, indoor or outdoor; and with one or more persons.

Fast Violence Detection in Video

Topic: Event and Human Activity Recognition

Authors: Oscar Deniz 1 , Ismael Serrano 1 , Gloria Bueno 1 and Tae-Kyun Kim 2

Affiliations: 1 University of Castilla-La Mancha, Spain , 2 Imperial College London, United Kingdom

Digital Object Identifier: 10.5220/0004695104780485

Proceedings of VISAPP 2014/VISIGRAPP, ISBN: 978-989-758-004-8

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Whereas the action recognition problem has become a hot topic within computer vision, the detection of fights or in general aggressive behavior has been comparatively less studied. Such capability may be extremely useful in some video surveillance scenarios like in prisons, psychiatric centers or even in camera phones. Recent work has considered the well-known Bag-of-Words framework often used in generic action recognition for the specific problem of fight detection. Under this framework, spatio-temporal features are extracted from the video sequences and used for classification. Despite encouraging results in which near 90% accuracy rates were achieved, the computational cost of extracting such features is prohibitive for practical applications, particularly in surveillance and media rating systems. The task of violence detection may have, however, specific features that can be leveraged. Inspired by results that suggest that kinematic features alone are discriminant for specific actions, this work proposes a novel method which uses extreme acceleration patterns as the main feature. These extreme accelerations are efficiently estimated by applying the Radon transform to the power spectrum of consecutive frames. Experiments show that accuracy improvements of up to 12% are achieved with respect to state-of-the-art action recognition methods. Most importantly, the proposed method is at least 15 times faster.

Population Ageing and ICT - An Exploratory Review of Technology Innovation trough Digital Applications

Authors: Jordi Solé-Casals , Mihaela Vancea , Jaume Miquel March and Jordi Villà-Freixa

Affiliation: University of Vic, Spain

Digital Object Identifier: 10.5220/0004941803310338

Proceedings of MPBS 2014/BIOSTEC, ISBN: 978-989-758-011-6

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The multidimensional process of physical, psychological, and social change produced by population ageing affects not only the quality of life of elderly people but also of our societies. Some dimensions of population ageing grow and expand over time (e.g. knowledge of the world events, or experience in particular situations), while others decline (e.g. reaction time, physical and psychological strength, or other functional abilities like reduced speed and tiredness). Information and Communication Technologies (ICTs) can help elderly to overcome possible limitations due to ageing. As a particular case, biometrics can allow the development of new algorithms for early detection of cognitive impairments, by processing continuous speech, handwriting or other challenged abilities. Among all possibilities, digital applications (Apps) for mobile phones or tablets can allow the dissemination of such tools. In this article, after presenting and discussing the process of population ageing and its social implications, we explore how ICTs through different Apps can lead to new solutions for facing this major demographic challenge.

Differences of Functional Connectivity Brain Network in Emotional Judgment

Topics: Medical Signal Acquisition, Analysis and Processing; Medical Image Detection, Acquisition, Analysis and Processing; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics; Cybernetics and User Interface Technologies

Authors: Mehran Amadlou 1 , Kazuko Hiyoshi-Taniguchi 2 , Jordi Solé-Casals 3 , Hironori Fukuyama 4 , Andrzej Cichocki 2 and Francois-Benoît Vialatte 5

Affiliations: 1 ESPCI ParisTech, France , 2 Riken BSI, Japan , 3 University of Vic, Spain , 4 Kyoto University Graduate of Medicine, Japan , 5 ESPCI ParisTech and Riken BSI, France

Digital Object Identifier: 10.5220/0004194002760279

Proceedings of BIOSIGNALS 2013/BIOSTEC, ISBN: 978-989-8565-36-5

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Using combined emotional stimuli, combining photos of faces and recording of voices, we investigated the neural dynamics of emotional judgment using scalp EEG recordings. Stimuli could be either combioned in a congruent, or a non-congruent way. As many evidences show the major role of alpha in emotional processing, the alpha band was subjected to be analyzed. Analysis was performed by computing the synchronization of the EEGs and the conditions congruent vs. non-congruent were compared using statistical tools. The obtained results demonstrate that scalp EEG ccould be used as a tool to investigate the neural dynamics of emotional valence and discriminate various emotions (angry, happy and neutral stimuli).
Collapse Button Related Ontology Subjects/Areas/Topics (11)
Applications and Services

Cybernetics and User Interface Technologies

Medical Image Detection, Acquisition, Analysis and Processing

Biomedical Engineering

Devices

Physiological Computing Systems

Biomedical Signal Processing

Human-Computer Interaction

Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics
Computer Vision, Visualization and Computer Graphics

Information and Systems Security

Direct Estimation of the Backward Flow

Topics: Image Registration; Optical Flow and Motion Analyses

Authors: Javier Sánchez , Agustin Salgado and Nelson Monzón

Affiliation: University of Las Palmas de Gran Canaria, Spain

Digital Object Identifier: 10.5220/0004284902680273

Proceedings of VISAPP 2013/VISIGRAPP, ISBN: 978-989-8565-48-8

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The aim of this work is to propose a new method for estimating the backward flow directly from the optical flow. We assume that the optical flow has already been computed and we need to estimate the inverse mapping. This mapping is not bijective due to the presence of occlusions and disocclusions, therefore it is not possible to estimate the inverse function in the whole domain. Values in these regions has to be guessed from the available information. We propose an accurate algorithm to calculate the backward flow uniquely from the optical flow, using a simple relation. Occlusions are filled by selecting the maximum motion and disocclusions are filled with two different strategies: a min-fill strategy, which fills each disoccluded region with the minimum value around the region; and a restricted min-fill approach that selects the minimum value in a close neighborhood. In the experimental results, we show the accuracy of the method and compare the results using these two strategies.
Collapse Button Related Ontology Subjects/Areas/Topics (5)
Computer Vision, Visualization and Computer Graphics

Image Registration

Optical Flow and Motion Analyses
Image and Video Analysis

Motion, Tracking and Stereo Vision

Optical Flow Estimation with Consistent Spatio-temporal Coherence Models

Topics: Image Registration; Stereo Vision and Structure from Motion; Optical Flow and Motion Analyses

Authors: Javier Sánchez , Agustín Salgado and Nelson Monzón

Affiliation: University of Las Palmas de Gran Canaria, Spain

Digital Object Identifier: 10.5220/0004199903660369

Proceedings of VISAPP 2013/VISIGRAPP, ISBN: 978-989-8565-48-8

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In this work we propose a new variational model for the consistent estimation of motion fields. The aim of this work is to develop appropriate spatio-temporal coherence models. In this sense, we propose two main contributions: a nonlinear flow constancy assumption, similar in spirit to the nonlinear brightness constancy assumption, which conveniently relates flow fields at different time instants; and a nonlinear temporal regularization scheme, which complements the spatial regularization and can cope with piecewise continuous motion fields. These contributions pose a congruent variational model since all the energy terms, except the spatial regularization, are based on nonlinear warpings of the flow field. This model is more general than its spatial counterpart, provides more accurate solutions and preserves the continuity of optical flows in time. In the experimental results, we show that the method attains better results and, in particular, it considerably improves the accuracy in the presence of large displacements.
Collapse Button Related Ontology Subjects/Areas/Topics (6)
Computer Vision, Visualization and Computer Graphics

Image Registration

Optical Flow and Motion Analyses

Image and Video Analysis

Motion, Tracking and Stereo Vision

Stereo Vision and Structure from Motion

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