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- W2323267428 abstract "The operation of foreground background subtraction, which has a crucial role on video processing, needs to be processed in real time. In this paper, we present an implement of the pixel based adaptive segmentation (PBAS) algorithm on CUDA parallel programming platform to process high resolution videos in real time. The performance of the implementation is enhanced by using Nsight profiler metrics such as consumed time for functions, usage of GPU compute and memory, occupancy, divergence. Experimental evaluation on benchmark videos presents the performance of the implementation; On a Tesla K20 graphic processing unit, 646 fps is achieved for a video with 320×240 resolution when memory transfer to and from the GPU is included. As a result, about 17 time speedup is achieved with regards to single thread version." @default.
- W2323267428 created "2016-06-24" @default.
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- W2323267428 date "2015-05-01" @default.
- W2323267428 modified "2023-09-25" @default.
- W2323267428 title "CUDA implementation of the pixel based adaptive segmentation algorithm" @default.
- W2323267428 doi "https://doi.org/10.1109/siu.2015.7130393" @default.
- W2323267428 hasPublicationYear "2015" @default.
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