Using the Ensemble of Deep Neural Networks for Normal and Abnormal Situations Detection and Recognition in the Continuous Video Stream of the Security System
O.S. Amosov, Svetlana Gennadievna Amosova, Y. S. Ivanov, С.В. Жиганов · Procedia Computer Science · 2019
It is suggested to use the ensemble of deep neural networks to design an intellectual situation classifier that solves the problem of normal and abnormal situations detection and recognition in a continuous video stream of the security system. The testing of its work was made on the basis of modern hardware and software and computer vision methods, the result of which is the classification probabilities for each video fragment. A software module in Python was created for normal and abnormal situations detection and recognition.