EMPOWERING VIDEO SURVEILLANCE WITH DEEP LEARNING INTELLIGENCE

Abstract

Abnormal activity detection plays a very important role in surveillance applications. To capture the abnormal activity of humans
without the intervention of the system i.e. automatically captures the video can be implemented. Human fall detection, suddenly jumping down which has an important application in the field of safety and security. Proposed system use for
detecting roadside human activities or behavior by using the Probabilistic Neural Network (PNN) method for classifying
activities or behavior between training dataset and testing videos. The partitions between classes of normal activities have
also been learned using multi-PNNs