Fire Recognition Using Spatio-Temporal Two-Stream Convolutional Neural Network with Fully Connected Layer-Fusion

摘要

The fire recognition using only shape of single image may cause the misrecognition problem because of objects similar to fire. To solve this problem, we present a spatio-temporal two-stream convolutional neural net based fire recognition method. Furthermore, we also present a fusion method in the fully connected layer. Experimental results show that proposed method outperforms 2D convolutional neural net by 7,12% in terms of accuracy.