Review of background subtraction methods using Gaussian mixture model for video surveillance systems

Research article (Artificial Intelligence Review, 2017) · cited 103× · AI/ML
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Review of background subtraction methods using Gaussian mixture model for video surveillance systems

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Review of background subtraction methods using Gaussian mixture model for video surveillance systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Review of background subtraction methods using Gaussian mixture model for video surveillance systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/review-of-background-subtraction-methods-using-gaussian-mixture-model-for-video-surveillance-systems
MLA “Review of background subtraction methods using Gaussian mixture model for video surveillance systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/review-of-background-subtraction-methods-using-gaussian-mixture-model-for-video-surveillance-systems.
BibTeX @misc{4ortxyz_review-of-background-subtraction-methods-using-gaussian-mixture-model-for-video-surveillance-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Review of background subtraction methods using Gaussian mixture model for video surveillance systems}}, year = {2026}, url = {https://4ort.xyz/entity/review-of-background-subtraction-methods-using-gaussian-mixture-model-for-video-surveillance-systems}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Review of background subtraction methods using Gaussian mixture model for video surveillance systems — https://4ort.xyz/entity/review-of-background-subtraction-methods-using-gaussian-mixture-model-for-video-surveillance-systems (retrieved 2026-05-24)

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