Autoencoder-based abnormal activity detection using parallelepiped spatio-temporal region.

IET Computer Vision(2019)

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摘要
The spread of surveillance cameras has necessitated the monitoring of large quantities of surveillance video feeds. A manual monitoring system is near impossible due to the large man-hour requirements. Recently, automatic abnormal activity detection has been an area of interest among researchers. A spatio-temporal feature, histogram of optical flow orientation and magnitude (HOFM), has produced im...
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关键词
video signal processing,image motion analysis,object detection,feature extraction,video surveillance,image sequences,video cameras,image reconstruction,neural nets
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