Automatic thresholding for change detection in digital video

Nariman Habili; Alireza Moini; Neil Burgess

doi:10.1117/12.386578

30 May 2000 Automatic thresholding for change detection in digital video

Nariman Habili, Alireza Moini, Neil Burgess

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.

Citation Download Citation

Nariman Habili, Alireza Moini, and Neil Burgess "Automatic thresholding for change detection in digital video", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386578

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