A Review on Alert Generation on Detection of Suspicious Activity Using Deep Learning

Computer Engineering

Video Surveillance plays a pivotal role in today’s world. The technologies have been advanced too much when Deep Learning pitched into the system. Using above combinations, different systems are in place which helps to differentiate various suspicious behaviors from the live tracking of footages. The most unpredictable one is human behavior and it is very difficult to find whether it is suspicious or normal. 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. Monitoring is often performed through consecutive frames which are extracted from the video.

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