Please use this identifier to cite or link to this item:
http://ir.futminna.edu.ng:8080/jspui/handle/123456789/18787
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Olaniyi, Olayemi Mikail | - |
dc.contributor.author | Bala, Jibril Abdullahi | - |
dc.contributor.author | Ganiyu, Shefiu Olusegun | - |
dc.contributor.author | Wisdom, Praise Emmanuel | - |
dc.date.accessioned | 2023-05-09T14:16:14Z | - |
dc.date.available | 2023-05-09T14:16:14Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | O.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.uri | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/18787 | - |
dc.description.abstract | Nowadays, 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.iso | en | en_US |
dc.publisher | International Journal of Information Processing and Communication | en_US |
dc.subject | Surveillance | en_US |
dc.subject | Motion Detection | en_US |
dc.subject | Image Processing | en_US |
dc.subject | Background Subtraction | en_US |
dc.subject | Gaussian Mixture Model | en_US |
dc.title | A Systematic Review of Background Subtraction Algorithms for Smart Surveillance System | en_US |
dc.type | Article | en_US |
Appears in Collections: | Mechatronics Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
IJIPC_Vol 8_No 1_pp 35-54.pdf | 6.23 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.