Deterministic and stochastic methods for gaze tracking in real-time

Presentado al 12th International Conference on Computer Analysis of Images and Patterns (CAIP-2007) celebrado en Viena (Austria) del 27 al 29 de agosto.Psychological evidence demonstrates how eye gaze analysis is requested for human computer interaction endowed with emotion recognition capabilities. The existing proposals analyse eyelid and iris motion by using colour information and edge detectors, but eye movements are quite fast and difficult for precise and robust tracking. Instead, we propose to reduce the dimensionality of the image-data by using multi-Gaussian modelling and transition estimations by applying partial differences. The tracking system can handle illumination changes, low-image resolution and occlusions while estimating eyelid and iris movements as continuous variables. Therefore, this is an accurate and robust tracking system for eyelids and irises in 3D for standard image quality.This work is supported by EC grants IST-027110 for the HERMES project, IST-045547 for the VIDI-Video project, by the Spanish MEC under projects TIN2006-14606 and DPI-2004-5414. Jordi Gonzàlez also acknowledges the support of a Juan de la Cierva Postdoctoral fellowship from the Spanish MEC.Peer Reviewe

Innovació educativa i treball per reptes a l'aula de la FP. El context comunicatiu pràctic

During the educational process of each student it is fundamental to educate him/her emotionally in order he/she would be prepared for a better learning. Nevertheless in some cases this has not been possible so they have finally failed at school. The Programmes for Formation and Insertion (PFI) proposed by the Catalan Goverment are an oportunity for those young students. Although I might consider this sort of programmes are absolutely necessaries I also think that there several issues related with the activities done into the classroom suitable to be improved. This is why I propose the use of Based Project Learning sustained by the Universal Desing for Learning as the methodologies to be used in the PFI framework in Girona in order to improve such a deficiencies. Through surveies, personal and focus group interviews with pupils as well as professors I wanted to know about their point of view regarding some key points in both methodologies. Once analyzed the data from the surveies I have concluded that there is a gap between the perception of the professor in how is conducting the class concerning PBL and UDL methods, and how this should be performed according their theories. Accordingly I advise the professors to be better prepared on the PBL and UDL methodologies. Regarding the answers from the pupils I advise about their low level of empowerment. All in all, this gives sense to the aim of this master dissertation

Fichte, Johann G. (2017). Lecciones de filosofía aplicada : Doctrina del Estado

Obra ressenyada: Johann G. FICHTE, Lecciones de filosofía aplicada: Doctrina del Estado Salamanca: Ediciones Sígueme, 2017

A Comparison Framework for Walking Performances using aSpaces

In this paper, we address the analysis of human actions by comparing different performances of the same action executed by different actors. Specifically, we present a comparison procedure applied to the walking action, but the scheme can be applied to other different actions, such as bending, running, etc. To achieve fair comparison results, we define a novel human body model based on joint angles, which maximizes the differences between human postures and, moreover, reflects the anatomical structure of human beings. Subsequently, a human action space, called aSpace, is built in order to represent each performance (i.e., each predefined sequence of postures) as a parametric manifold. The final human action representation is called p-action, which is based on the most characteristic human body postures found during several walking performances. These postures are found automatically by means of a predefined distance function, and they are called key-frames. By using key-frames, we synchronize any performance with respect to the p- action. Furthermore, by considering an arc length parameterization, independence from the speed at which performances are played is attained. As a result, the style of human walking can be successfully analysed by establishing the differences of the joints between a male and a female walkers

Aznar, Hugo; Alonso, Elvira y Menéndez, Manuel (eds.) (2018). Ortega y el tiempo de las masas

Obra ressenyada: Hugo AZNAR, Elvira ALONSO y Manuel MENÉNDEZ (eds.), Ortega y el tiempo de las masas. Madrid: Plaza y Valdés Editores, 2018

Masked Discriminators for Content-Consistent Unpaired Image-to-Image Translation

A common goal of unpaired image-to-image translation is to preserve content consistency between source images and translated images while mimicking the style of the target domain. Due to biases between the datasets of both domains, many methods suffer from inconsistencies caused by the translation process. Most approaches introduced to mitigate these inconsistencies do not constrain the discriminator, leading to an even more ill-posed training setup. Moreover, none of these approaches is designed for larger crop sizes. In this work, we show that masking the inputs of a global discriminator for both domains with a content-based mask is sufficient to reduce content inconsistencies significantly. However, this strategy leads to artifacts that can be traced back to the masking process. To reduce these artifacts, we introduce a local discriminator that operates on pairs of small crops selected with a similarity sampling strategy. Furthermore, we apply this sampling strategy to sample global input crops from the source and target dataset. In addition, we propose feature-attentive denormalization to selectively incorporate content-based statistics into the generator stream. In our experiments, we show that our method achieves state-of-the-art performance in photorealistic sim-to-real translation and weather translation and also performs well in day-to-night translation. Additionally, we propose the cKVD metric, which builds on the sKVD metric and enables the examination of translation quality at the class or category level.Comment: 24 pages, 22 figures, under revie

Robust multiple-people tracking using color-based particle filters

Presentado al 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA-2007) celebrado en Girona (Spain) del 6 al 8 de junio.Robust and accurate people tracking is a key task in many promising computer-vision applications. One must deal with non-rigid targets in open-world scenarios, whose shape and appearance evolve over time. Targets may interact, causing partial or complete occlusions. This paper improves tracking by means of particle filtering, where occlusions are handled considering the target's predicted trajectories. Model drift is tackled by careful updating, based on the history of likelihood measures. A colour-based likelihood, computed from histogram similarity, is used. Experiments are carried out using sequences from the CAVIAR database.This work has been supported by the Catalan Research Agency (AGAUR), by the Spanish Ministry of Education (MEC) under projects TIC2003-08865 and DPI-2004-5414, and by the EC grant IST-027110 under the HERMES project.Peer Reviewe

Deterministic and stochastic methods for gaze tracking in real-time

Psychological evidence demonstrates how eye gaze analysis is requested for human computer interaction endowed with emotion recognition capabilities. The existing proposals analyse eyelid and iris motion by using colour information and edge detectors, but eye movements are quite fast and difficult for precise and robust tracking. Instead, we propose to reduce the dimensionality of the image-data by using multi-Gaussian modelling and transition estimations by applying partial differences. The tracking system can handle illumination changes, low-image resolution and occlusions while estimating eyelid and iris movements as continuous variables. Therefore, this is an accurate and robust tracking system for eyelids and irises in 3D for standard image quality.Peer Reviewe

Interpretation of human motion in image sequences using situation graph trees

CVC Workshop on Computer Vision: Advances in Research & Development (CVCRD), 2006, Bellaterra (Spain)Evaluation of human behaviour patterns in determined scenes has been a problem studied in social and cognitive sciences, but now it is raised as a challenging approach to computer science due to the complexity of data extraction and its analysis. Results obtained in this research will be helpful in cognitive sciences, above all in the human-computer interaction and the video surveillance domain. Our information source is an image sequence previously processed with pattern recognition algorithms, to extract quantitative data of the trajectories performed by the agents within the scene. Reasoning about human behavior makes necessary the inclusion of machine learning techniques, in order to represent those behaviours in a qualitative manner, allowing natural language explanation of the scene. This is achieved by means of a rule-based inference engine called F-Limette and a behaviour modelling tool based on Situation Graph Trees. The success of this approach depends on the precision of the image analysis system, the selection of suitable reasoning tools and the design of useful behaviour models. The model was tested in a street scene and the agents of interest were pedestrians. Textual descritpions are generated which qualitatively describe the observed behavior. Experimental results are provided by defining three different behaviors in a pedestrian crossing. This will allow us to confront sociological theories about human behaviour, whose quantitative base is at present being computed from statistics and not from semantic concepts.This work was supported by the project 'Integration of robust perception, learning, and navigation systems in mobile robotics' (J-0929).Peer Reviewe