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A control architecture for managing instructions among partitions of a data parallel structure
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A software control structure for managing partitions of a data parallel program
No full textThis paper concerns the definition and the evaluation of an approach to the handling of objects spanning over several partitions of a parallel data structure, whenever such partitions are assigned to different nodes of a distributed-memory MIMD parallel machine. The proposed control strategy is based on the introduction of different types of hierarchy of manager processes, which handle information exchanges between working processes operating upon the parallel data structure in a distributed way, thus avoiding the need of a single centralized controller. The structure is not tailored to a particular data parallel algorithm: it will be here applied, as an example, to a parallel edge detection algorithm. © 1997 John Wiley & Sons, Inc
Background subtraction by combining Temporal and Spatio-Temporal histograms in the presence of camera movement
Full text linkBackground subtraction is the classical approach to differentiate moving objects in a scene from the static background when the camera is fixed. If the fixed camera assumption does not hold, a frame registration step is followed by the background subtraction. However, this registration step cannot perfectly compensate camera motion, thus errors like translations of pixels from their true registered position occur. In this paper, we overcome these errors with a simple, but effective background subtraction algorithm that combines Temporal and Spatio-Temporal approaches. The former models the temporal intensity distribution of each individual pixel. The latter classifies foreground and background pixels, taking into account the intensity distribution of each pixels' neighborhood. The experimental results show that our algorithm outperforms the state-of-the-art systems in the presence of jitter, in spite of its simplicity
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