2020
DOI: 10.11591/ijece.v10i2.pp1337-1345
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Robust foreground modelling to segment and detect multiple moving objects in videos

Abstract: Last decade has witnessed an ever increasing number of video surveillance installations due to the rise of security concerns worldwide. With this comes the need for video analysis for fraud detection, crime investigation, traffic monitoring to name a few. For any kind of video analysis application, detection of moving objects in videos is a fundamental step. In this paper, an efficient foreground modelling method to segment multiple moving objects is implemented. Proposed method significantly reduces noise the… Show more

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Cited by 1 publication
(3 citation statements)
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“…MaxValue is the highest grayscale value is (255). In ( 9), the pixel intensity threshold is determined, so that the pixel values that are less than 30 are considered as black (0); otherwise, they should be white (1). This is due to the saturation phenomena of human vision.…”
Section: Proposed Methodsmentioning
confidence: 99%
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“…MaxValue is the highest grayscale value is (255). In ( 9), the pixel intensity threshold is determined, so that the pixel values that are less than 30 are considered as black (0); otherwise, they should be white (1). This is due to the saturation phenomena of human vision.…”
Section: Proposed Methodsmentioning
confidence: 99%
“…The measurement of precision (quality) is the pixels ratio of the retrieved pixels as (1). It was used to assess recently the preliminary extraction techniques objectively.…”
Section: Evaluation Measures and Weaknesses In Techniques 21 Objectiv...mentioning
confidence: 99%
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