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DOI will be assigned to every published paper at no additional charge. 📢 Call for Papers — Volume 13, Issue 9 (September 2026) | Submission Deadline: September 30, 2026 | Rapid peer review: 2–3 days | Impact Factor: 7.37 (SJIF 2026)

Paper Details

📄 IJAERD-OJS-5688

DETECTION Background Subtraction Technique As Review

Author(s):Ms.Bhagyashri A. Makwana
Institution:Assistant Professor Computer Science Department, DJMIT, Gujarat, India.
Published In:Vol. 2, Issue 13 — January 2015
Page No.:-
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

This paper presents an approach to background subtraction based on rectangular regions (blocks). The general principle is tosuccessively divide the image into blocks and detect foreground pixels based on the colour histogram and the variance between pixelsof the blocks. Then, the classic Gaussian Mixture background subtraction method is applied to refine the detected foreground. Resultsshow that this approach reduces false positives by filtering noise coming from small motion as it is based on groups of pixels instead ofon individual pixels.

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🕮 How to Cite

Ms.Bhagyashri A. Makwana, “DETECTION Background Subtraction Technique As Review”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 13, pp. -, January 2015.

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Vol. 13 | Issue 9
September 2026