Institute Investigacion En Informatica Of Albacete

Albacete, Spain

Institute Investigacion En Informatica Of Albacete

Albacete, Spain

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Fernandez-Caballero A.,University of Castilla - La Mancha | Fernandez-Caballero A.,Institute Investigacion En Informatica Of Albacete | Lopez M.T.,University of Castilla - La Mancha | Lopez M.T.,Institute Investigacion En Informatica Of Albacete | Serrano-Cuerda J.,Institute Investigacion En Informatica Of Albacete
Sensors (Switzerland) | Year: 2014

This paper investigates the robustness of a new thermal-infrared pedestrian detection system under different outdoor environmental conditions. In first place the algorithm for pedestrian ROI extraction in thermal-infrared video based on both thermal and motion information is introduced. Then, the evaluation of the proposal is detailed after describing the complete thermal and motion information fusion. In this sense, the environment chosen for evaluation is described, and the twelve test sequences are specified. For each of the sequences captured from a forward-looking infrared FLIR A-320 camera, the paper explains the weather and light conditions under which it was captured. The results allow us to draw firm conclusions about the conditions under which it can be affirmed that it is efficient to use our thermal-infrared proposal to robustly extract human ROIs. © 2014 by the authors; licensee MDPI, Basel, Switzerland.


Teruel M.A.,Institute Investigacion En Informatica Of Albacete | Rodriguez A.C.,Institute Investigacion En Informatica Of Albacete | Montero F.,Institute Investigacion En Informatica Of Albacete | Navarro E.,Institute Investigacion En Informatica Of Albacete | And 2 more authors.
ACM International Conference Proceeding Series | Year: 2015

New technologies are giving rise to new interaction paradigms that go beyond the classic WIMP (Window, Icon, Menu and Pointing) interfaces. At the same time, theses new interfaces, called Post-WIMP need the modeling languages to be adapted in order to be suitable for a development process. In this paper, the W3C Task Meta-model is analyzed within a Post-WIMP system modeling and a new Task meta-model, based on CSRML, is proposed to tackle the shortcomings. © 2015 ACM.


Fernandez-Caballero A.,University of Castilla - La Mancha | Lopez M.T.,University of Castilla - La Mancha | Serrano-Cuerda J.,Institute Investigacion En Informatica Of Albacete
Sensors (Basel, Switzerland) | Year: 2014

This paper investigates the robustness of a new thermal-infrared pedestrian detection system under different outdoor environmental conditions. In first place the algorithm for pedestrian ROI extraction in thermal-infrared video based on both thermal and motion information is introduced. Then, the evaluation of the proposal is detailed after describing the complete thermal and motion information fusion. In this sense, the environment chosen for evaluation is described, and the twelve test sequences are specified. For each of the sequences captured from a forward-looking infrared FLIR A-320 camera, the paper explains the weather and light conditions under which it was captured. The results allow us to draw firm conclusions about the conditions under which it can be affirmed that it is efficient to use our thermal-infrared proposal to robustly extract human ROIs.


Serrano-Cuerda J.,Institute Investigacion En Informatica Of Albacete
Electronic Letters on Computer Vision and Image Analysis | Year: 2014

Nowadays, robust human detection is still a key challenge in the field of Computer Vision. Many people detection systems are based on the use of color cameras. Yet, these cameras have problems when the scene is poorly illuminated or when there are sudden lighting changes. This is why, the use of thermal-infrared cameras seems to be an interesting alternative. Indeed, these cameras show a good performance in cold environments. But they offer many troubles in warm scenarios. Under these adverse conditions, human temperature is similar to the thermal readings of the remaining scene elements. This fact makes it hard to distinguish humans from the environment. This PhD thesis develops and implements a robust multisensor [1] human detection system based on fusing the information provided after segmenting infrared [2] and color videos. The final system has been developed based on the INT3-Horus framework [3] recently created in our n&aIS research team [4].


Ruiz M.C.,University of Castilla - La Mancha | Cazorla D.,University of Castilla - La Mancha | Perez D.,Institute Investigacion En Informatica Of Albacete | Conejero J.,Institute Investigacion En Informatica Of Albacete
Journal of Supercomputing | Year: 2015

The recent appearance, evolution and massive expansion of social media-based technologies, in conjunction with what currently is known as Internet of Things, results in a vertiginous data production. One of the main contributions to address this matter has been the Hadoop framework (which implements the Map/Reduce paradigm), especially when used in conjunction with Cloud computing environments. In this paper, a comprehensive and rigourous study of the Map/Reduce framework using formal methods is presented. Specifically, the Timed Process Algebra BTC is used, and the resulting formal model is evaluated with a real social media data Hadoop-based application. Moreover, the formal model is validated by carrying out several experiments on a real private Cloud environment. Finally, the formal model outcomes are harnessed to determine the best performance–cost agreement in a real scenario. Results show that the proposed model enables to determine in advance both the performance of a Hadoop-based application within Cloud environments and the best performance–cost agreement. © 2015 Springer Science+Business Media New York


Ruiz-Coll D.,Institute Investigacion En Informatica Of Albacete | Adzic V.,Florida Atlantic University | Fernandez-Escribano G.,Institute Investigacion En Informatica Of Albacete | Kalva H.,Florida Atlantic University | And 2 more authors.
2014 IEEE International Conference on Image Processing, ICIP 2014 | Year: 2014

High Efficiency Video Coding (HEVC) is the new video coding standard recently approved by ISO and ITU. HEVC allows a bit rate reduction greater than a 50% with respect to its predecessor, the H.264/AVC, offering the same perceptual quality, by means of a set of new tools that have been introduced. Compared with the current state of the art in image coding, such as JPEG, JPEG2000 or the new JPEG XR, the new Intra Frame coding performs a high compression process in the 'All-Intra' mode. All these improvements are at expense of a high computational cost, making it considerably difficult to implement in real time. Hence, this paper presents a mechanism that can be used by the RDO algorithm to select the optimal coding block size for Intra-Prediction, by using a data mining classifier, based on a previous training. Experimental results show that the proposed algorithm can achieve a 30% of Time Savings over a wide range of high resolution sequences (Class A, B and F), with a negligible loss of coding efficiency. © 2014 IEEE.


Sokolova M.V.,University of Castilla - La Mancha | Sokolova M.V.,Institute Investigacion En Informatica Of Albacete | Fernandez-Caballero A.,University of Castilla - La Mancha | Fernandez-Caballero A.,Institute Investigacion En Informatica Of Albacete | And 2 more authors.
ICAART 2010 - 2nd International Conference on Agents and Artificial Intelligence, Proceedings | Year: 2010

We offer a framework for the creation of decision support and expert systems for complex natural domains. This is due, on the one hand, to the numerous advantages of intelligent methods of data manipulation and, on the other hand, to the abilities of the computational agents to make decentralized decisions, which are crucial for complex systems modeling and simulation.In our approach, the qualitative improvement in decision making is obtained by using computational agents and interdisciplinary approach. The frameworks combines, on the one hand, the numerous advantages of intelligent methods for data manipulation and, on the other hand, the abilities of the computational agents to make decentralized decisions, which is crucial for complex system modeling and simulation. The approach contributes to decentralization and local decision making within the standard workflow. We demonstrate our framework in a case study and discuss obtained results.


Sladojevic S.,University of Novi Sad | Culibrk D.,University of Novi Sad | Mirkovic M.,University of Novi Sad | Coll D.R.,Institute Investigacion En Informatica Of Albacete | Borba G.R.,Federal Technological University of Paraná
Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013 | Year: 2013

While a fairly large number of databases exist that provide impaired video sequences designed for the development and evaluation of Quality of Experience (QoE) approaches, the impairments due to transmission errors resulting in packet loss in these databases are based on simulation of small number of scenarios and not representative of real transmission scenarios that arise in end-to-end transmission of multimedia to mobile devices. © 2013 IEEE.


Rodriguez A.,National University of La Plata | Gonzalez P.,Institute Investigacion En Informatica Of Albacete | Rossi G.,National University of La Plata
Proceedings of the 7th Latin American Conference on Human Computer Interaction, CLIHC 2015 | Year: 2015

The role of sketching for designing enactive interactions is reviewed, a conceptual framework is described and an exploratory case study is analyzed and discussed. The framework is organized as a map with two dimensions: the first one expresses the interactivity embodied in the different representations used by designers. The other dimension organizes the user experience expressiveness achieved by the different sketches. The sketch categories are linked through the attributes of interactivity sought by the designer. The case study supports the need to include some form of interactive sketching for designing of enactive interactions. November 18-21, 2015, Córdoba, Argentina. © 2015 ACM.


PubMed | Institute Investigacion En Informatica Of Albacete
Type: Journal Article | Journal: Sensors (Basel, Switzerland) | Year: 2012

The neurally inspired accumulative computation (AC) method and its application to motion detection have been introduced in the past years. This paper revisits the fact that many researchers have explored the relationship between neural networks and finite state machines. Indeed, finite state machines constitute the best characterized computational model, whereas artificial neural networks have become a very successful tool for modeling and problem solving. The article shows how to reach real-time performance after using a model described as a finite state machine. This paper introduces two steps towards that direction: (a) A simplification of the general AC method is performed by formally transforming it into a finite state machine. (b) A hardware implementation in FPGA of such a designed AC module, as well as an 8-AC motion detector, providing promising performance results. We also offer two case studies of the use of AC motion detectors in surveillance applications, namely infrared-based people segmentation and color-based people tracking, respectively.

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