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- W2392877690 abstract "Moving object detection using a background model is one of the most important targets for video surveillance.The quality of the model affects the accuracy of object detection,tracking and recognition.Most of the traditional methods are single layered,with no consideration of the change in brightness both spatially and temporally.The model is therefore not accurate enough to handle difficulties such as waving trees,light switching,complex background and there will be holes and noise when segmentation is done.A two-layer method of spatio-temporal background modeling is described.A modeling algorithm based on codebook(CB) was presented in the pixel-level layer,while a texture-based algorithm using center-symmetric local binary pattern(CSLBP) in the region-level layer.Experimental results on video sequences demonstrate that the method can process movement segmentation effectively." @default.
- W2392877690 created "2016-06-24" @default.
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- W2392877690 date "2012-01-01" @default.
- W2392877690 modified "2023-09-23" @default.
- W2392877690 title "A two-layers background modeling method based on codebook and texture" @default.
- W2392877690 hasPublicationYear "2012" @default.
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