Online video-based abnormal detection using highly motion techniques and statistical measures
At the essence of video surveillance, there are abnormal detection approaches, which have been proven to be substantially effective in detecting abnormal incidents without prior knowledge about these incidents. Based on the state-of-the-art research, it is evident that there is a trade-off between f...
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Main Authors: | Al-Dhamari, A., Sudirman, R., Mahmood, N. H., Khamis, N. H., Yahya, A. |
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Format: | Article |
Language: | English |
Published: |
Universitas Ahmad Dahlan
2019
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/91355/1/AhlamAlDhamari2019_OnlineVideoBasedAbnormal.pdf http://eprints.utm.my/id/eprint/91355/ http://www.dx.doi.org/10.12928/TELKOMNIKA.v17i4.12753 |
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