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Background Subtraction for Real-Time Video Analytics Based on Multi-hypothesis Mixture-of-Gaussians.

, and . AVSS, page 166-171. IEEE Computer Society, (2012)

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Abnormal Event Detection in Unseen Scenarios., and . ICME Workshops, page 378-383. IEEE Computer Society, (2012)Background Subtraction for Real-Time Video Analytics Based on Multi-hypothesis Mixture-of-Gaussians., and . AVSS, page 166-171. IEEE Computer Society, (2012)On Stable Dynamic Background Generation Technique Using Gaussian Mixture Models for Robust Object Detection., , and . AVSS, page 41-48. IEEE Computer Society, (2008)Panic-driven event detection from surveillance video stream without track and motion features., and . ICME, page 173-178. IEEE Computer Society, (2010)A hybrid object detection technique from dynamic background using Gaussian mixture models., , and . MMSP, page 915-920. IEEE Signal Processing Society, (2008)Improved Gaussian mixtures for robust object detection by adaptive multi-background generation., , and . ICPR, page 1-4. IEEE Computer Society, (2008)Readiness Towards Industry 4.0 of Selected Industrial Sector., , and . MIET (2), volume 491 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 659-673. Springer, (2022)Robust Background Subtraction Based on Perceptual Mixture-of-Gaussians with Dynamic Adaptation Speed., and . ICME Workshops, page 396-401. IEEE Computer Society, (2012)Fact-checking Initiatives in Bangladesh, India, and Nepal: A Study of User Engagement and Challenges., , , , , , , and . CoRR, (2018)CervixMed: Detecting Cervical Cancer based on combinational data using Hybrid architecture., , , and . DICTA, page 570-577. IEEE, (2023)