Francisco Javier Gómez

Road-traffic monitoring by knowledge-driven static and dynamic image analysis

This article presents a visual application which allows a study and analysis of traffic behavior on major roads (more specifically freeways and highways), using as the main surveillance artefact a video camera mounted on a relatively high place (such as a bridge) with a significant image analysis field. The system described presents something new which is the combination of both traditional traffic monitoring systems, that is, monitoring to get information on different traffic parameters and monitoring to detect accidents automatically. Therefore, we present a system in charge of compiling information on different traffic parameters. It also has a surveillance module for that traffic, which can detect a wide range of the most significant incidents on a freeway or highway.

Interact-DDM: a solution for the integration of domestic devices on network management platforms

The paper presents Interact-DDM (interact - domestic device management), a solution that integrates domestic devices with traditional computer networks. The architecture proposal is based on TCP/IP network management standards: SNMP protocol and management information bases (MIB). The centralized management operation has been enhanced with additional capabilities integrated on the agents. The design has been performed permitting a very flexible device definition and dynamic configuration. This is achieved by the meta-definition of devices in the system MIB. A laboratory experiment has been deployed to check and validate the design proposed, where multiple configurations have been tested, and the design modularity has been proved.

Knowledge-Based Road Traffic Monitoring

This article presents a knowledge-based application to study and analyze traffic behavior on major roads, using as the main surveillance artefact a video camera mounted on a relatively high place with a significant image analysis field. The system described presents something new which is the combination of both traditional traffic monitoring systems, that is, monitoring to get information on different traffic parameters and monitoring to detect accidents automatically. Therefore, we present a system in charge of compiling information on different traffic parameters. It also has a surveillance module, which can detect a wide range of the most significant incidents on a freeway or highway.

Step-by-step description of lateral interaction in accumulative computation

In this paper we present a method for moving objects detection and labeling denominated Lateral Interaction in Accumulative Computation (LIAC). The LIAC method usefulness in the general task of motion detection may be appreciated by means of some step-by-step descriptions of significant examples of object detection in video sequences of synthetic and real images.

Stereovision disparity analysis by two-dimensional motion charge map inspired in neurobiology

Up to date several strategies of how to retrieve depth information from a sequence of images have been described. In this paper a method that is inspired in Neurobiology and that turns around the symbiosis existing between stereovision and motion is introduced. A motion representation in form of a two-dimensional motion charge map, based in the so-called permanency memories mechanism is presented. For each pair of frame of a video stereovision sequence, the method displaces the left permanency stereo-memory on the epipolar restriction basis over the right one, in order to analyze the disparities of the motion trails calculated.

Towards Assistive Solutions for People with Central Vision Loss

The paper introduces a method of digital image processing for visually impaired people with central vision field loss. The method is based on image pixels relocation from the “blind zone” outside of its limits, and has been implemented within the CImagenMDI library. Transformed visual inputs are then used within the assistive tool with the aim to support a patient when performing everyday activities at work and home.

Decision Making in Complex Systems with an Interdisciplinary Approach

This article presents a framework for the creation of decision support and expert systems for complex natural domains. The framework uses the numerous advantages of intelligent methods of data manipulation and use agents to make decentralized decisions. The qualitative improvement in decision making is obtained by using interdisciplinary approach. The frameworks combines, on the one hand, the numerous advantages of intelligent methods for data treatment and, on the other hand, supports software systems life cycle. The approach contributes to decentralization and local decision making within the standard workflow.

Foetal Age and Weight Determination Using a Lateral Interaction Inspired Net

The clinical estimate of the foetal weight is probably one of the most difficult parameters to obtain in the prenatal control. Only very accurate foetal body measurements reflect the gestation age and the weight of the foetus. A model is presented that performs an automated foetal age and weight determination from ultrasound by means of biparietal diameter, femur lenght and abdominal circumference parameters. The model proposed in this paper exploits the data in the images in three general steps. The first step is image preprocessing, to highlight useful data in the image and suppress noise and unwanted data. The next step is image processing, which results in forming regions that can correspond to structures or structure parts. The last step is image understanding, where knowledge on the specific problem is injected.

Un Enfoque Neuronal al Seguimiento de un Objeto a través de su Tamaño y su Localización

A continuacion se presenta una entrevista hecha por Javier Garcia a Javier Sabada Garay. En la entrevista se aborda el tema de la religion, la credulidad y la marginacion, entre otros.