Multi-View Gait Recognition Based on a Spatial-Temporal Deep Neural Network
Multi-View Gait Recognition Based on a Spatial-Temporal Deep Neural Network is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include convolutional neural network, deep learning, artificial intelligence, feature extraction, computer vision, artificial neural network, animal gait, feature, gait analysis, diabetic foot ulcer, pattern recognition, and computer science. The paper proposes a novel spatial-temporal deep neural network (STDNN) that is applied to multi-view gait recognition.