Regular Section
Multi-Channels LSTM Networks for Fence Activity Classification
2018 Volume E101.D Issue 8 Pages 2173-2177
Details
2018 Volume E101.D Issue 8 Pages 2173-2177
We propose a novel neural networks model based on LSTM which is used to solve the task of classifying inertial sensor data attached to a fence with the goal of detecting security relevant incidents. To evaluate it we deployed an experimental fence surveillance system. By comparing experimental data of different approaches we find out that the neural network outperforms the baseline approach.
