30 May 2000 Automatic thresholding for change detection in digital video
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Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386578
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia
Abstract
In this paper we propose a thresholding technique for change detection in digital video. The technique assumes that the difference image generated from two frames of a video sequence has a trimodal Gaussian distribution and a computationally efficient fitting criterion is employed to find the best match between the data and model. Results show that the technique is capable of detecting true motion in very images.
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Nariman Habili, Nariman Habili, Alireza Moini, Alireza Moini, Neil Burgess, Neil Burgess, } "Automatic thresholding for change detection in digital video", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386578; https://doi.org/10.1117/12.386578
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