In 2014 the Russian armed forces successfully invaded the Crimean peninsula without firing hardly a single shot. The allegedly same armed forces invaded Ukraine in February 2022 with a significantly different result. The poor operational effectiveness displayed by these armed forces leads to many questions about which have been the causes of this failure. This article aims to get into this analysis, specifically in the year 2022, for being that year the center of our interest, while delving into the little-revealed role played by the Russian air force.
Este texto del Ing. José M. Martínez analiza la necesidad del diagnostico preliminar de las zonas costeras, con el objetivo fundamental de presentar una descripcion y análisis de todos los factores naturales y antrópicos.
This work presents a proposal of teaching in the field of translation, interpretation and terminology of economic and financial texts of the European Union paying special attention to the Multilingualism. Firstly, I study the historical development of the European multilingual policy. And after that, I offer a proposal based on a triple perspective which consists of a theoretical framework, a list of terminology-participant agents and, finally, some case studies that shed light on the work for the students. ; El presente artículo presenta una propuesta de docencia en el ámbito de la traducción, interpretación y terminología de textos económicos y financieros de la Unión Europea, con especial atención al hecho multilingüe. En un principio se estudia la evolución histórica de la política multilingüe europea para a continuación ofrecer una propuesta triple a modo de base traductológica referencial constituida por un marco teórico, una relación de agentes participantes en esta terminología y, por último, determinados casos prácticos que arrojen luz a la labor del alumnado.
This paper focuses on the French and English versions of the Declaration on the occasion of the 50th anniversary of the signature of the Treaties of Rome, which took place in Berlin in 2007. It analyses the concept of intended equivalence in the framework of the official multilingualism at the European Union where the translation, the ST and TT are relegated in favour of the instrument itself. After an introduction to the topic, linguistic and conceptual differences are detected in both versions what will help to refer to the textual hegemony that each version develops as an own story. ; El presente trabajo centra su atención en las versiones francesa e inglesa de la Declaración con motivo del quincuagésimo aniversario de la firma de los Tratados de Roma que tuvo lugar en Berlín en 2007 y analiza el concepto de equivalencia que se pretende en el marco del multilingüismo oficial de la Unión Europea en donde la traducción, el TO y TM quedan relegados frente al instrumento en cuestión. Tras la pertinente introducción de la temática, se comentan las divergencias lingüísticas y conceptuales detectadas en ambas versiones para hacer referencia posteriormente a la hegemonía textual que cada versión desarrolla como relato propio.
El presente trabajo tiene como objeto ofrecer un marco general para el análisis de los gastos fiscales en el plano teórico y abordar su consideración en el caso de España como foco de atención obligado ante cualquier proceso de reforma fiscal. En el trabajo se examinan los principales aspectos conceptuales y metodológicos relacionados con los gastos fiscales, se exponen sus vías de instrumentación y se evalúa su utilización con arreglo a los criterios básicos de la teoría impositiva y del gasto. Por último, se analiza la evolución de su magnitud en España en el ámbito de los tributos del Estado ; This work aims to provide a general framework to analyze tax expenditures from a theoretical point of view and to address them in Spain as a necessary focus when a tax reform is envisaged. In the work the main conceptual and methodological issues concerning tax expenditures are examined. The different alternatives for their implementation are also shown. Additionally, an assessment of tax expenditures according to the basic criteria usually employed in the tax and expenditure theory is undertaken. Finally, an analysis of the evolution of tax expenditures in Spanish Central Government is offered
Developments in anthropometric history in the Iberian Peninsula have been remarkable in recent decades. In contrast, we barely know about the behavior of insular population groups and infants' and adults' growth during the nutritional transition in the Canary Islands. This paper analyzes the height, weight and body mass index of military recruits (conscripts) in a rural municipality from the eastern Canaries during the economic modernization process throughout the 20th century. The case study (municipality of San Bartolomé (SB) in Lanzarote, the island closest to the African continent) uses anthropometric data of military recruits from 1907–2001 (cohorts from 1886 to 1982). The final sample is composed of 1921 recruits' records that were measured and weighed at the ages of 19–21 years old when adolescent growth had finished. The long-term anthropometric study is carried out using two approaches: a malnutrition and growth retardation approach and an inequality perspective. In the first one, we use the methodology recommended by the World Health Organization (WHO) that is based on z-scores. In the second one, we implement several inequality dimensions such as the coefficient of variation (CV), percentiles and an analysis for height and BMI evolution by five socioeconomic categories. The data suggest that improvements in biological well-being were due to advances in nutrition since the 1960s. They show that infant nutrition is sensitively associated with economic growth and demographic and epidemiological changes.
The final publication is available at Springer via http://dx.doi.org/10.1007/s00138-011-0397-x ; This paper presents a distributed and scalable framework for video analysis that automatically estimates the optimal workflow required for the analysis of different application domains. It integrates several technologies related with data acquisition, visual analysis tools, communication protocols, and data storage. Moreover, hierarchical semantic representations are included in the framework to describe the application domain, the analysis capabilities, and the user preferences. The automatic determination of the analysis workflow is performed by selecting the most appropriate tools for each domain among the available ones in the framework by means of exploiting the relations between the semantic descriptions. The experimental results in the video surveillance domain demonstrate that the proposed approach successfully composes optimal workflows for video analysis applications. ; This work has been partially supported by the Spanish Government (TEC2011-25995), by the Consejería de Educación of the Comunidad de Madrid and by The European Social Fund.
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. A. García Martín, and J. M. Martínez, "Robust real time moving people detection in surveillance scenarios", in 2010 Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2010, p. 241 - 247 ; In this paper an improved real time algorithm for detecting pedestrians in surveillance video is proposed. The algorithm is based on people appearance and defines a person model as the union of four models of body parts. Firstly, motion segmentation is performed to detect moving pixels. Then, moving regions are extracted and tracked. Finally, the detected moving objects are classified as human or nonhuman objects. In order to test and validate the algorithm, we have developed a dataset containing annotated surveillance sequences of different complexity levels focused on the pedestrians detection. Experimental results over this dataset show that our approach performs considerably well at real time and even better than other real and non-real time approaches from the state of art. ; This work has partially supported by the Cátedra UAMInfoglobal ("Nuevas tecnologías de vídeo aplicadas a sistemas de video-seguridad") and by the Spanish Government (TEC2007-65400 SemanticVideo).
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. J. C. San Miguel, and J. M. Martínez, "Robust unattended and stolen object detection by fusing simple algorithms", in IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance, 2008. AVSS '08, 2008, p. 18 - 25 ; In this paper a new approach for detecting unattended or stolen objects in surveillance video is proposed. It is based on the fusion of evidence provided by three simple detectors. As a first step, the moving regions in the scene are detected and tracked. Then, these regions are classified as static or dynamic objects and human or nonhuman objects. Finally, objects detected as static and nonhuman are analyzed with each detector. Data from these detectors are fused together to select the best detection hypotheses. Experimental results show that the fusion-based approach increases the detection reliability as compared to the detectors and performs considerably well across a variety of multiple scenarios operating at realtime. ; This work is supported by Cátedra Infoglobal-UAM for "Nuevas Tecnologías de video aplicadas a la seguridad", by the Spanish Government (TEC2007-65400 SemanticVideo), by the Comunidad de Madrid (S- 050/TIC-0223 - ProMultiDis-CM), by the Consejería de Educación of the Comunidad de Madrid and by the European Social Fund.
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. J. C. San Miguel, and J. M. Martínez, "On the evaluation of background subtraction algorithms without ground-truth" in 2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013, 180 - 187 ; In video-surveillance systems, the moving object segmentation stage (commonly based on background subtraction) has to deal with several issues like noise, shadows and multimodal backgrounds. Hence, its failure is inevitable and its automatic evaluation is a desirable requirement for online analysis. In this paper, we propose a hierarchy of existing performance measures not-based on ground-truth for video object segmentation. Then, four measures based on color and motion are selected and examined in detail with different segmentation algorithms and standard test sequences for video object segmentation. Experimental results show that color-based measures perform better than motion-based measures and background multimodality heavily reduces the accuracy of all obtained evaluation results. ; This work is partially supported by the Spanish Government (TEC2007- 65400 SemanticVideo), by Cátedra Infoglobal-UAM for "Nuevas Tecnologías de video aplicadas a la seguridad", by the Consejería de Educación of the Comunidad de Madrid and by the European Social Fund.
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. J. C. SanMiguel, and J. M. Martínez, "Shadow detection in video surveillance by maximizing agreement between independent detectors", in 16th IEEE International Conference on Image Processing, ICIP 2009. p. 1141-1144 ; This paper starts from the idea of automatically choosing the appropriate thresholds for a shadow detection algorithm. It is based on the maximization of the agreement between two independent shadow detectors without training data. Firstly, this shadow detection algorithm is described and then, it is adapted to analyze video surveillance sequences. Some modifications are introduced to increase its robustness in generic surveillance scenarios and to reduce its overall computational cost (critical in some video surveillance applications). Experimental results show that the proposed modifications increase the detection reliability as compared to some previous shadow detection algorithms and performs considerably well across a variety of multiple surveillance scenarios. ; Work supported by the Spanish Government (TEC2007- 65400 SemanticVideo), by Cátedra Infoglobal-UAM for "Nuevas Tecnologías de video aplicadas a la seguridad", by the Spanish Administration agency CDTI (CENIT-VISION 2007-1007), by the Comunidad de Madrid (S-050/TIC-0223 - ProMultiDis), by the Consejería de Educación of the Comunidad de Madrid and by the European Social Fund.
Proceedings of the 26th Picture Coding Symposium, PCS 2007, Lisbon, Portugal, November 2007 ; This paper presents a system to transmit the information from a static surveillance camera in an adaptive way, from low to higher bit-rate, based on the on-line generation of descriptions. The proposed system is based on a server/client model: the server is placed in the surveillance area and the client is placed in a user side. The server analyzes the video sequence to detect the regions of activity (motion analysis) and the corresponding descriptions (mainly MPEG-7 moving regions) are generated together with the textures of moving regions and the associated background image. Depending on the available bandwidth, different levels of transmission are specified, ranging from just sending the descriptions generated to a transmission with all the associated images corresponding to the moving objects and background. ; This work is partially supported by Cátedra Infoglobal-UAM para Nuevas Tecnologías de video aplicadas a la seguridad. This work is also supported by the Ministerio de Ciencia y Tecnología of the Spanish Government under project TIN2004-07860 (MEDUSA) and by the Comunidad de Madrid under project P-TIC-0223-0505 (PROMULTIDIS).
This paper is a postprint of a paper submitted to and accepted for publication in 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP 2009), and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library and IEEE Xplore ; In this paper we describe how the knowledge related to a specific domain and the available visual analysis tools can be used to create dynamic visual analysis systems for video surveillance. Firstly, the knowledge is described in terms of application domain (types of objects, events. that can appear in such domain) and system capabilities (algorithms, detection procedures.) by using an existing ontology. Secondly, the ontology is integrated into a framework to create the visual analysis systems for each domain by inspecting the relations between the entities defined in the domain and system knowledge. Additionally, when necessary, analysis tools could be added or removed on-line. Experiments/Application of the framework show that the proposed approach for creating dynamic visual analysis systems is suitable for analyzing different video surveillance domains without decreasing the overall performance in terms of computational time or detection accuracy. ; This work was partially supported by the Spanish Administration agency CDTI (CENIT-VISION 2007-1007), by the Spanish Government (TEC2007- 65400 SemanticVideo), by the Comunidad de Madrid (S-050/TIC-0223 - ProMultiDis), by Cátedra Infoglobal-UAM for "Nuevas Tecnologías de video aplicadas a la seguridad", by the Consejería de Educación of the Comunidad de Madrid and by The European Social Fund.
This paper is a postprint of a paper submitted to and accepted for publication in IET Computer Vision and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library and at IEEE Xplore. ; Nowadays, people detection in video surveillance environments is a task that has been generating great interest. There are many approaches trying to solve the problem either in controlled scenarios or in very specific surveillance applications. The main objective of this study is to give a comprehensive and extensive evaluation of the state of the art of people detection regardless of the final surveillance application. For this reason, first, the different processing tasks involved in the automatic people detection in video sequences have been defined, then a proper classification of the state of the art of people detection has been made according to the two most critical tasks, object detection and person model, that are needed in every detection approach. Finally, experiments have been performed on an extensive dataset with different approaches that completely cover the proposed classification and support the conclusions drawn from the state of the art. ; This work has been partially supported by the Spanish Government (TEC2011-25995 EventVideo).
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. J. C. San Miguel, and J. M. Martínez, "On the effect of motion segmentation techniques in description based adaptive video transmission", in AVSS '07: Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance, 2007, p. 359-364 ; This paper presents the results of analysing the effect of different motion segmentation techniques in a system that transmits the information captured by a static surveillance camera in an adaptative way based on the on-line generation of descriptions and their descriptions at different levels of detail. The video sequences are analyzed to detect the regions of activity (motion analysis) and to differentiate them from the background, and the corresponding descriptions (mainly MPEG-7 moving regions) are generated together with the textures of the moving regions and the associated background image. Depending on the available bandwidth, different levels of transmission are specified, ranging from just sending the descriptions generated to a transmission with all the associated images corresponding to the moving objects and background. We study the effect of three motion segmentation algorithms in several aspects such as accurate segmentation, size of the descriptions generated, computational efficiency and reconstructed data quality. ; This work is partially supported by Cátedra Infoglobal-UAM para Nuevas Tecnologías de video aplicadas a la seguridad. This work is also supported by the Ministerio de Ciencia y Tecnología of the Spanish Government under project TIN2004-07860 (MEDUSA) and by the Comunidad de Madrid under project P-TIC-0223-0505 (PROMULTIDIS).
