Abstract
There is a strong demand for smart vision based surveillance systems owing to the increase in crime at a frightening rate at various public places. As crime increases at a disturbing rate, public security violations and high cost of security personnel have motivated the strategic survey of existing vision and image processing based techniques. It discusses the system to analyze human’s normal and abnormal activities recognition along with various feature selectors and detectors.Deep learning approach is used to detect suspicious or normal activity in an academic environment, and which sends an alert message to the corresponding authority, in case of predicting a suspicious activity.
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