Abnormal Behavior Detection in Uncrowded Videos with Two-Stream 3D Convolutional Neural Networks
The increasing demand for surveillance systems has resulted in an unprecedented rise in the volume of video data being generated daily. The volume and frequency of the generation of video streams make it both impractical as well as inefficient to manually monitor them to keep track of abnormal event...
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Format: | Article |
Language: | English |
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MDPI AG
2021-04-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/11/8/3523 |