Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/18787
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dc.contributor.authorOlaniyi, Olayemi Mikail-
dc.contributor.authorBala, Jibril Abdullahi-
dc.contributor.authorGaniyu, Shefiu Olusegun-
dc.contributor.authorWisdom, Praise Emmanuel-
dc.date.accessioned2023-05-09T14:16:14Z-
dc.date.available2023-05-09T14:16:14Z-
dc.date.issued2020-
dc.identifier.citationO.M. Olaniyi, J.A. Bala, S.O. Ganiyu, and P.E. Wisdom. (2020). A Systematic Review of Background Subtraction Algorithms for Smart Surveillance System. International Journal of Information Processing and Communication, 8, 1, pp. 35-54.en_US
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/18787-
dc.description.abstractNowadays, the demand for video surveillance systems is rapidly increasing as an essential component of many security formations and apparatuses. Many times, video surveillance has demonstrated its importance and benefits by providing immediate supervision of environment, people and their valuable properties. However, surveillance has been a major issue in almost every facet of life since infrastructure, companies, homes and offices required the safety of their possessions from intruders. Therefore, this paper presents a comprehensive and systematic literature review on existing methods in motion detection such as background subtraction, as well as, an overview on basic concepts in surveillance technologies and the drawbacks of various methods. Consequently, in this paper an enhanced methodology to improve the existing method in smart surveillance systems is presented.en_US
dc.language.isoenen_US
dc.publisherInternational Journal of Information Processing and Communicationen_US
dc.subjectSurveillanceen_US
dc.subjectMotion Detectionen_US
dc.subjectImage Processingen_US
dc.subjectBackground Subtractionen_US
dc.subjectGaussian Mixture Modelen_US
dc.titleA Systematic Review of Background Subtraction Algorithms for Smart Surveillance Systemen_US
dc.typeArticleen_US
Appears in Collections:Mechatronics Engineering

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