Seguimiento de artefactos navales

Una de las funciones de la Armada Nacional es la protección de la soberanía, para ello requiere el uso de unidades a flote. La construcción de estas Unidades refleja el desarrollo tecnológico de una nación. COOTECMAR1 realizó el diseño estructural y mecánico del primer buque oceánico OPV (OffShore Patrol Vessel) la integración de los sistemas de armas se encuentra en proceso de desarrollo por parte de DARET2 . Dicha dependencia desarrolló también el sistema de control de fuego Barracuda 3, el cual cuenta con una cámara de características militares que posee visión diurna a color e infrarroja en escala de grises (ZOOM de 8X), la integración de los dos subsistemas, cámaras y control de fuego, hace que sea posible y necesario el seguimiento de un artefacto naval.Magíster en Ingeniería ElectrónicaMaestrí

Recent Developments in Video Surveillance

With surveillance cameras installed everywhere and continuously streaming thousands of hours of video, how can that huge amount of data be analyzed or even be useful? Is it possible to search those countless hours of videos for subjects or events of interest? Shouldn’t the presence of a car stopped at a railroad crossing trigger an alarm system to prevent a potential accident? In the chapters selected for this book, experts in video surveillance provide answers to these questions and other interesting problems, skillfully blending research experience with practical real life applications. Academic researchers will find a reliable compilation of relevant literature in addition to pointers to current advances in the field. Industry practitioners will find useful hints about state-of-the-art applications. The book also provides directions for open problems where further advances can be pursued

Scene Understanding For Real Time Processing Of Queries Over Big Data Streaming Video

With heightened security concerns across the globe and the increasing need to monitor, preserve and protect infrastructure and public spaces to ensure proper operation, quality assurance and safety, numerous video cameras have been deployed. Accordingly, they also need to be monitored effectively and efficiently. However, relying on human operators to constantly monitor all the video streams is not scalable or cost effective. Humans can become subjective, fatigued, even exhibit bias and it is difficult to maintain high levels of vigilance when capturing, searching and recognizing events that occur infrequently or in isolation. These limitations are addressed in the Live Video Database Management System (LVDBMS), a framework for managing and processing live motion imagery data. It enables rapid development of video surveillance software much like traditional database applications are developed today. Such developed video stream processing applications and ad hoc queries are able to reuse advanced image processing techniques that have been developed. This results in lower software development and maintenance costs. Furthermore, the LVDBMS can be intensively tested to ensure consistent quality across all associated video database applications. Its intrinsic privacy framework facilitates a formalized approach to the specification and enforcement of verifiable privacy policies. This is an important step towards enabling a general privacy certification for video surveillance systems by leveraging a standardized privacy specification language. With the potential to impact many important fields ranging from security and assembly line monitoring to wildlife studies and the environment, the broader impact of this work is clear. The privacy framework protects the general public from abusive use of surveillance technology; iii success in addressing the trust issue will enable many new surveillance-related applications. Although this research focuses on video surveillance, the proposed framework has the potential to support many video-based analytical applications