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We present a distributed algorithm for identifying the location of data centers and their relative sizes. This topology information can be used in P2P systems to improve the routing performance, replica placement, or job scheduling. The algorithm uses gossiping with local agglomerative clustering. It is robust to failures and it correctly identifies outliers that are caused, e.g., by temporarily overloaded...
Latest research results in the areas of computer vision and embedded systems have made way for smart cameras. These cameras use a built-in computing unit to analyse images directly at the CCD sensor. Smart cameras can cooperate in order to analyse scenes from different perspectives and track objects autonomously. In large smart camera systems (also known as distributed vision networks), distributed...
We propose a decentralized, self-organizing system architecture for wireless networked smart cameras (SCs) with pan, tilt, and zoom abilities. Each SC communicates with its neighbors and independently calculates the optimal position for its field of view. Thereby, SCs autonomously organize themselves and spatially partition the area they observe. This is achieved by a decentralized algorithm that...
Vision based surveillance systems are used for example for the observation of large areas to detect intruders and protect safety critical equipment. These large areas may be maritime ports or aprons of airports and can usually not be guarded solely by human staff due to the costs arising. Most of today's surveillance systems used for the observation of these areas rely on a centralised system architecture...
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