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- W2280477875 abstract "Identifying objects of interest in a video sequence is a fundamental and essential part in many vision systems. A common method to achieve that goal is to perform background subtraction. For automated surveillance systems with multiple cameras, real-time background subtraction is particularly important. In this paper, we examine how to exploit GPU parallelism to accelerate the single Gaussian background subtraction algorithm achieving real-time processing of multiple concurrent videos. Experiments performed on a low end GPU showed promising results." @default.
- W2280477875 created "2016-06-24" @default.
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- W2280477875 date "2015-12-01" @default.
- W2280477875 modified "2023-09-24" @default.
- W2280477875 title "GPU-accelerated real-time video background subtraction" @default.
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- W2280477875 doi "https://doi.org/10.1109/icces.2015.7393013" @default.
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