AUTOMATIC CHANGE DETECTION BY INTELLIGENT BACKGROUNDING METHOD

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FATHI M.; SHAKURI H.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Paper Information

Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ Year:2003 | Volume:1 | Issue:1 Page(s): 3-10

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Information Journal Paper

Title

AUTOMATIC CHANGE DETECTION BY INTELLIGENT BACKGROUNDING METHOD

Author(s)

FATHI M. | SHAKURI H. | Issue Writer Certificate

Keywords

IMAGE BLOCKINGQ4

GAUSSIAN MIXTUREQ4

BACKGROUND SUBTRACTIONQ4

FOREGROUND SEGMENTATIONQ4

Abstract

The segmentation of foreground regions in image sequences is the first and the most important stage in many automated visual surveillance applications; and BACKGROUND SUBTRACTION is a method typically used for such applications. In this method, each new frame is compared with a model of the empty scene (which we call it ‘Background’) then those regions in the image that differ significantly from the background are identified as foreground.This paper presents a new BACKGROUND SUBTRACTION approach. In this method, each image is divided into similar NxN blocks; then, some features are extracted from every block and the history of each feature is modeled as a combination of Gaussian distributions. These distributions are updated after the reception of every frame information Then the Gaussian distributions of the adaptive mixture models are evaluated to determine which one most likely describes the background and each block is classified as background or foreground based on Gaussian distributions which represents its feature value most effectively.The software implementations on personal computers show accepting capability of this approach for handling intruders to the scene, objects being introduced or removed from the scene, noises and unwanted changes in the background. Also, high speed of execution and reduced memory requirements makes this approach as a suitable method for high percentage of real-time applications.

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APA: Copy

FATHI, M., & SHAKURI, H.. (2003). AUTOMATIC CHANGE DETECTION BY INTELLIGENT BACKGROUNDING METHOD. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), 1(1), 3-10. SID. https://sid.ir/paper/53808/en

Vancouver: Copy

FATHI M., SHAKURI H.. AUTOMATIC CHANGE DETECTION BY INTELLIGENT BACKGROUNDING METHOD. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN)[Internet]. 2003;1(1):3-10. Available from: https://sid.ir/paper/53808/en

IEEE: Copy

M. FATHI, and H. SHAKURI, “AUTOMATIC CHANGE DETECTION BY INTELLIGENT BACKGROUNDING METHOD,” NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), vol. 1, no. 1, pp. 3–10, 2003, [Online]. Available: https://sid.ir/paper/53808/en

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