Alberto Izquierdo Fuente

Surveillance system based on data fusion from image and acoustic array sensors

The present publication shows a model of a monitoring system of high benefit, based on two complementary sensorial systems (image+acoustics), which allows the information received to fuse, and to prioritize the computational resources toward the zones with considerable risk. The application uses components such as: active acoustic radar based on a phase array of microphones, with techniques of beamforming, and multibeam detection schemes; efficient compression algorithms and video transmission in real time. The system is composed of an arbitrary number of sensors (monitoring probes), distributed by the monitoring space, a data network and a central server (monitoring manager). The sensors consist of a microprocessor, with its memory and three main modules: (1) acoustic radar; (2) video capture card; and (3) network card. The flexibility of the system allows new modules to be added such as: personal detector card; sound card; cards for telecontrol; etc. The sensor microprocessor preprocesses the information received by the modules, packs and transmits it to the central server through a data network. The system uses IP protocol, and SNMPv2 for management.

Multisensorial modular system of monitoring and tracking with information fusion techniques and neural networks

The article presents a model of a monitoring system with high benefits, based on two complementary sensorial systems (images and acoustics), that allow the information received to fuse, and to prioritize the computational resources towards the zones with considered risks. The application uses components developed completely in the Multimedia Technology Group of the ETSI of Telecommunication in Valladolid (Spain), such us: a) active acoustic radar based on a phase array of microphones, with techniques of beam conformation and with multibeam detection schemes, and b) efficient compression algorithms and video transmission in real time. The system consists of an arbitrary number of sensors (monitoring probes), distributed by the monitoring space, a data network, and a central server (monitoring manager). The sensors consist of a microprocessor with its memory and three main modules: i) acoustic radar; ii) video capture card;, and iii) network card. The flexibility of the system allows new modules to be added such as: personal detector card; sound card; and cards for telecontrol, etc. The sensorial microprocessor preprocesses the information received by the modules, packs and transmits it to the central server through a data network. The system uses the IP protocol and SNMPv2 for management.

Optimization of a biometric system based on acoustic images.

On the basis of an acoustic biometric system that captures 16 acoustic images of a person for 4 frequencies and 4 positions, a study was carried out to improve the performance of the system. On a first stage, an analysis to determine which images provide more information to the system was carried out showing that a set of 12 images allows the system to obtain results that are equivalent to using all of the 16 images. Finally, optimization techniques were used to obtain the set of weights associated with each acoustic image that maximizes the performance of the biometric system. These results improve significantly the performance of the preliminary system, while reducing the time of acquisition and computational burden, since the number of acoustic images was reduced.On the basis of an acoustic biometric system that captures 16 acoustic images of a person for 4 frequencies and 4 positions, a study was carried out to improve the performance of the system. On a first stage, an analysis to determine which images provide more information to the system was carried out showing that a set of 12 images allows the system to obtain results that are equivalent to using all of the 16 images. Finally, optimization techniques were used to obtain the set of weights associated with each acoustic image that maximizes the performance of the biometric system. These results improve significantly the performance of the preliminary system, while reducing the time of acquisition and computational burden, since the number of acoustic images was reduced.

INTEGRACIÓN DE COMPONENTES COM DE MATLAB/SIMULINK EN EL ENTORNO CASE XBDK, PARA EL MODELADO DE SISTEMAS DE CONFORMACIÓN DE HAZ

This paper describes Matlab access within the XBDK (XML-Based Beamforming Development Kit) platform. A well-known script language named Tcl/Tk has been used to perform Matlab COM interfacing, a powerful and little known mechanism, provided by Matlab Automation Server. Automation processing or prototype development, take advantage from script languages such Tcl/Tk. Most recent digital signal processing tools, provide mechanisms to be invoked by script languages. A language script plus COM integration, performs a detail, flexible, quick and powerful mechanism to provide services for a CASE integrated development environment such XBDK.

UN SISTEMA AVANZADO DE VIGILANCIA BASADO EN INFORMACIÓN MULTISENSORIAL

En esta comunicacion presentamos un sistema de vigilancia que utiliza la informacion obtenida a partir de multiples sensores. La definicion de tareas y eventos gestionados por el modulo principal, permite que el sistema puede adaptarse, bien cambiando la forma de trabajo o bien agregando modulos nuevos. El uso de un modulo de clasificacion permite la supervision humana contribuyendo a aumentar la confiabilidad.