Pose‐based deep gait recognition
Pose‐based deep gait recognition is a scholarly work, published in 2019 in ''IET Biometrics''. The main subjects of the publication include convolutional neural network, optical flow, artificial intelligence, identification, silhouette, computer vision, generalization, animal gait, motion, feature, Multiple object tracking, gait analysis, biometrics, face, pattern recognition, and computer science. In this study, the authors present a new pose‐based convolutional neural network model for gait recognition.