Investigators at Department of Electrical and Communication Engineering Describe Findings in Computers (Detection and Localization of Abnormalities In Surveillance Video Using Timerider-based Neural Network)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Current study results on Computers have been published. According to news reporting from Tamil Nadu, India, by NewsRx journalists, research stated, “Automatic anomaly detection in surveillance videos is a trending research domain, which assures the detection of the anomalies effectively, relieves the time-consumed by the manual interpretation methods without the requirement of the domain knowledge about the anomalous object. Accordingly, this research work proposes an effective anomaly detection approach, named, TimeRide Neural network (TimeRideNN), by modifying the standard RideNN using the Taylor series such that an extra group of rider, named as timerider, is included in the standard rider optimization algorithm.”