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Proceedings Paper

Automatic thresholding for change detection in digital video
Author(s): Nariman Habili; Alireza Moini; Neil Burgess
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Paper 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.

Paper Details

Date Published: 30 May 2000
PDF: 10 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386578
Show Author Affiliations
Nariman Habili, Univ. of Adelaide (Australia)
Alireza Moini, Univ. of Adelaide (Australia)
Neil Burgess, Univ. of Wales Cardiff (United Kingdom)

Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

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