Identification of undesirable behaviour in CCTV footage using Deep Learning
Masters thesis
Mateusz, B. 2018. Identification of undesirable behaviour in CCTV footage using Deep Learning. Masters thesis Middlesex University
Type | Masters thesis |
---|---|
Title | Identification of undesirable behaviour in CCTV footage using Deep Learning |
Authors | Mateusz, B. |
Abstract | Anomaly detection in CCTV recording is a difficult and challenging subject due to the issue of the vast amount of the data that must be processed, and the expertise required to analyse it. CCTV operators undergo a long and extensive training to spot anomalous behaviour in CCTV recording, but even with the acquired expertise, on average an operator will lose up to 45% of screen activities after 12 minutes, and up to 95% after 22 minutes. |
Department name | School of Science and Technology |
Institution name | Middlesex University |
Publication dates | |
15 Apr 2019 | |
Publication process dates | |
Deposited | 15 Apr 2019 |
Accepted | 09 Apr 2018 |
Output status | Published |
Language | English |
https://repository.mdx.ac.uk/item/88382
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Accepted author manuscript
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