Hybrid deep neural network model for human action recognition

Conference/Journal
Elsevier
Authors
Earnest Paul Ijjina C. Krishna Mohan
BibTex
Abstract
Abstract In this paper, we propose a hybrid deep neural network model for recognizing human actions in videos. A hybrid deep neural network model is designed by the fusion of homogeneous convolutional neural network (CNN) classifiers. The ensemble of classifiers is built by diversifying the input features and varying the initialization of the weights of the neural network. The convolutional neural network classifiers are trained to output a value of one, for the predicted class and a zero, for all the other classes. The outputs of the trained ...