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Proyecto para la IV Edición del Desafío Tecnológico planteado en la ETSIIT de la Universidad de Granada. Nuestro grupo propone una solución para que padres puedan ver en tiempo real a sus hijos mientras se encuentran Centros Infantiles. Nuestro producto se diferencia de otros en el que el cambio de cámara es automático, realizando para ello una triangulación de los niños.

The Fish4knowledge project investigated: information abstraction and storage methods for analyzing undersea video data (from 10E+15 pixels to 10E+12 units of information), machine and human vocabularies for detecting & describing fish, flexible process architectures to process the data and scientific queries and effective specialised user query interfaces. A combination of computer vision, database storage, workflow and human computer interaction methods were used to achieve this. The project used live video feeds from 10 underwater cameras as a testbed for investigating more generally applicable methods for capture, storage, analysis and querying of multiple video streams. We collated a public database from 3 years containing video summaries of the observed fish and associated descriptors. Expert web-based interfaces were developed for use by marine researchers, allowing unprecedented access to live and previously stored videos, or previously extracted information.

FAMOUSO is an event-based publish/subscribe middleware written in C++ for systems ranging from 8Bit micro-controllers up to 32Bit PC/Workstations.