Storage Optimization using Adaptive Thresholding Motion Detection
2021 ◽
Vol 11
(2)
◽
pp. 6869-6872
Keyword(s):
Data storage is always an issue, especially for video data from CCTV cameras that require huge amounts of storage. Moreover, monitoring past events is a laborious task. This paper proposes a motion detection method that requires fewer calculations and reduces the required data storage up to 70%, as it stores only the informative frames, enabling the security personnel to retrieve the required information more quickly. The proposed method utilized a histogram-based adaptive threshold for motion detection, and therefore it can work in variable luminance conditions. The proposed method can be applied to streamed frames of any CCTV camera to efficiently store and retrieve informative frames.
2013 ◽
Vol 32
(8)
◽
pp. 2296-2298
◽
Keyword(s):
Keyword(s):
2021 ◽
Vol 1073
(1)
◽
pp. 012069
2015 ◽
Vol 764-765
◽
pp. 740-746
Keyword(s):
2018 ◽
Vol 2018
◽
pp. 1-9
◽
Keyword(s):
2021 ◽
Vol 2021
(0)
◽
pp. 2P3-E01